[{"run_id":"20260906T231458-5fdd2fff","semester":"1272","observed_at":"2026-09-06 23:14:58.172943+00:00","record_version_id":"2aa5221a1841a53eb58688377eb765ffad7fb6dd98aab840ad7c536652e0d04f","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"20260907T155543-ce3781c4","semester":"1272","observed_at":"2026-09-07 15:55:43.033547+00:00","record_version_id":"2aa5221a1841a53eb58688377eb765ffad7fb6dd98aab840ad7c536652e0d04f","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"20261014T203208-0851c9a1","semester":"1274","observed_at":"2026-10-14 17:50:09.728220+00:00","record_version_id":"bfda6b2f36f00996153b08569831965d04be33860d464e7d83891ccca0be4142","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"aee56effc08085b80ddd15dd8552a7e7594b8fcda8717b1462010ced8bb9d2e1","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:52:11.198313+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\",\"term\":null,\"text\":\"Become familiar with computing tools that are useful in managing, analyzing, and visualizing atmospheric and oceanic science data, including Unix, git, and Python\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:52:11.198313+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\",\"term\":null,\"text\":\"Understand multiple Python packages that are critical for atmospheric and oceanic science data analysis and use these packages to analyze and visualize atmospheric and oceanic science datasets\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:52:11.198313+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\",\"term\":null,\"text\":\"Develop proficiency in the use of version control and other elements of open science best practices\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:52:11.198313+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/atm_ocn/\",\"term\":null,\"text\":\"Implement a reproducible data analysis workflow that incorporates Python computing tools and version control and apply it to an unfamiliar dataset or new research topic\"}]"},{"run_id":"legacy-03b0bbb9723907cf3d1b41cf0bb34837dc398e42","semester":"1262","observed_at":"2025-04-16 05:20:33.104844+00:00","record_version_id":"da840c3b5e5e11d7a6d7b6afb1635ecebd31703b2dc21e567187dbb2ce682597","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-0837245627eb714ae6bb0375f7abe8f41042011f","semester":"1262","observed_at":"2025-04-16 05:20:33.104844+00:00","record_version_id":"da840c3b5e5e11d7a6d7b6afb1635ecebd31703b2dc21e567187dbb2ce682597","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-08c92e359bbbc110b0778b7e0b15d6f40000e6b1","semester":"1262","observed_at":"2025-08-21 07:05:14.730696+00:00","record_version_id":"4c32308386e4c144519bee612b0eeb1dbe9b9406a8618c432cd626fc7bb63257","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-0944d76440dc778fbb89626058c10451009ce9c6","semester":"1262","observed_at":"2025-05-21 03:36:18.194118+00:00","record_version_id":"92807ac8e7f20115ce372defdbff7910c70284609af45cb325772b94b3077390","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-0a7f4bce29c816ef4d3d71b4eb8a2a3e15e33cc1","semester":"1262","observed_at":"2025-06-18 20:04:02.695444+00:00","record_version_id":"19150e29bb3b3c9564e0497557457bd79046dceb0b51f7662dfa19c781560071","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-0ab917f827a7de22ebdc1087114d377a31c4687b","semester":"1262","observed_at":"2025-05-22 02:11:02.531191+00:00","record_version_id":"5eaa9bbb4f7e50cc7b5321e1cc176479a0039036d3b3d7471e0b9050b15cf8f9","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-0c40ecab4b6db9333d1f18aef816e3ee659e300c","semester":"1262","observed_at":"2025-05-25 18:02:34.797617+00:00","record_version_id":"1afa06d76e68c03a8c5f18f096c5a0759789d7e48ff683b9afd0f96da43d7b9d","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-0cb4d29a588ec7f11c7e00b7cf5dc3a0d23d0349","semester":"1266","observed_at":"2026-01-22 01:00:26.555427+00:00","record_version_id":"be51c87f344c29109c32f4b173037aa93b782a34c745817c6c086ba825f11342","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-11c30ec39e91498cbfcf3a923c53a4b03e387280","semester":"1262","observed_at":"2025-07-20 04:58:26.847117+00:00","record_version_id":"97d32fe0b8e1d398cc773aab5a7ed125b038f014f13f4d9d06508335d6945867","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-13cd500edf2587e9a3428f326253738fbea965ea","semester":"1264","observed_at":"2025-12-14 04:50:04.653658+00:00","record_version_id":"615d2c0a42094745de54637007cbea1002799181b7cacdbaa5b0da06dd363532","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-1da08b2de39f05e6bc877c189fc2fd6eeda563f5","semester":"1262","observed_at":"2025-07-01 00:03:56.707251+00:00","record_version_id":"f47968f00b938722b8746d0ee4445e4e2f03255ff499e2362dede350a972f25b","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-2031af47efe133b0e7877f433286ff07385afc41","semester":"1262","observed_at":"2025-07-02 20:16:45.749584+00:00","record_version_id":"1017235022b8120d4f4321379dc310ca3174a431fe6e4edb750c790d2af6cf20","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-238eba6f32fbc30407f616dd0628ff02a2a824dd","semester":"1262","observed_at":"2025-08-17 05:15:07.788352+00:00","record_version_id":"6e15e2c0c15a08b7efffff5529a58aa6e098b5455a35777f3adb7358df553d59","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-25f0ff56bc4d80f8a8afa1a0bcce8dae6fddb5e5","semester":"1262","observed_at":"2025-05-25 17:20:25.942090+00:00","record_version_id":"14051268f9e356347e55c9a332102c5ac1285011194d94cb06b689293275981f","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-2923f91826ce253b7aeefa9f75b4a39fe4c80ff0","semester":"1262","observed_at":"2025-08-10 05:10:25.938416+00:00","record_version_id":"e68b3c55c9a2267a5493be2371cd6ea1e94f6f72f939e18d9f3b90c79528f691","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-2a05214a4023e0157fa6f7d188c85308f714176c","semester":"1262","observed_at":"2025-09-07 04:56:38.255315+00:00","record_version_id":"ea631050044ff81cf0aaa866fed2712d126662f8d83605ee530db61af00c4ddf","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-2b1b8e39131de92b94620b25c5bbb25690efed4c","semester":"1262","observed_at":"2025-06-01 07:54:53.913454+00:00","record_version_id":"fc3329d7f7cb1e615728ccad73ec958c7e499f6eaa7652551c050030eabd5840","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-33a1225644e5a5855d60f66e65413946e72fedf4","semester":"1262","observed_at":"2025-06-22 01:52:05.152650+00:00","record_version_id":"1a83d9fc774bd755d1b65c093bf7da6e0e51e9c083514c8c22e5cf2503c15cb1","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-3b89c83dbf5208e13756184de1f2b2d0c09af35f","semester":"1262","observed_at":"2025-06-30 06:40:10.235522+00:00","record_version_id":"5d0b18a1ab88c613f55db9a2ec5800e544270039c5775bd39332fcdc64daaad1","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-3c3eebf7f35c39364b445a2fa5a112ce28dbb4a1","semester":"1262","observed_at":"2025-06-01 17:03:59.062985+00:00","record_version_id":"0b9af1589bf0a33347116ae5c1f0b8afdb452a039534442a494a967f95a853aa","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-3fa4dd71391f1c9cf4ab2216680bbc428689f92d","semester":"1262","observed_at":"2025-05-25 01:15:58.180530+00:00","record_version_id":"d024a99cc0e9ec0ae0ad469cb718efa0282cbae08790adee027e778fbb2b5302","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-4040aa216da722a34483f68fc1e129ea571ae08d","semester":"1262","observed_at":"2025-06-01 07:27:39.695506+00:00","record_version_id":"f90f72cada5dff9d91d8488e1a522df5fb046890834f8a3fc8c599a24f8d0707","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-454d53cd690294459f8ad0793cc3ed562060e56c","semester":"1262","observed_at":"2025-05-25 01:34:00.536004+00:00","record_version_id":"2eea82e7ad36e48e9b31767d172c39eda1f22ef72668fbe01624ee3d24b0352c","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-486f091e051fdb4ccdb80ee7b4fb0a5814510324","semester":"1264","observed_at":"2025-11-16 05:32:31.273726+00:00","record_version_id":"e1ed1e99b1117257c541b9e26a763c89f09516cf5989e9c1539f55c6591f2c04","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-50393cfc5fd5598d4f4731ef1919f2ff53af07d9","semester":"1262","observed_at":"2025-06-30 06:05:57.438846+00:00","record_version_id":"e893d6d09c4fdc13c55a9c9a29ba48445f5f365546fcfb18a8c22d1dd19b0f0b","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-50f6947786b208c800db8bbd0cec84a8f0f187d2","semester":"1262","observed_at":"2025-06-02 03:49:42.915428+00:00","record_version_id":"d0dbbe95e87e69f692dd9a87298e97e0590f103506ed02c1220baf7fd992313a","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-51d86ed4082dced3803c295419b0ec8440942016","semester":"1264","observed_at":"2025-11-12 04:50:41.141307+00:00","record_version_id":"762a4b4c35195e40e7de31b23787ae69a997f013b6073e73925829b02936cf39","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-53101bd1c10db0d00d094e4c9154d4c244ff23d9","semester":"1262","observed_at":"2025-10-05 04:58:05.366968+00:00","record_version_id":"f43236ad8031e505a578f8bbab7dda4d59f0153578ff302c901ccf9708655700","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-58751151c564e11c5cb8aedd3a2d3527c22f73eb","semester":"1262","observed_at":"2025-06-01 06:59:01.536576+00:00","record_version_id":"4e1588821ffab1cd37c56c492f3fa686780b8338eb0bc83c8a63dc8198091699","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-5c4c8d3701a333ba4ddadef7d0b5dde8440fcdf0","semester":"1262","observed_at":"2025-06-01 01:57:51.256704+00:00","record_version_id":"ef8703b9cfd393d0549b2bf75a29a2ec3611ee51a4e84d0794fbf28ed52933c5","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-5d20d9f81651d3c83fcaa2fd10870ce6e5d5a685","semester":"1262","observed_at":"2025-05-21 16:48:48.484741+00:00","record_version_id":"6813f9d128cdff7069e7ab4403e4f482708bcf917824219ad4d95acfb087b97a","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-5feaebf2ab37051c86ad360cc0fa0d7e0e2ea295","semester":"1262","observed_at":"2025-05-24 15:58:23.378859+00:00","record_version_id":"1d588ddd343e6ecc75dc6a23f994330c320a4a6c0ebc03545709eb59d683155d","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-60949965544fce098cc006354e201149005fb77b","semester":"1264","observed_at":"2025-10-26 05:07:14.077864+00:00","record_version_id":"3325abb80b12b48d15ad5d8c6cf3fc06c2da87f1958a18d86d5bb9ed6ff5631a","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-639225ac3addf8522f1d30cb4fe26054ea7f8c49","semester":"1262","observed_at":"2025-06-01 08:14:42.497608+00:00","record_version_id":"4fffc0789affffd3013fbf6d3360c191df02a79c9fd670e519845da8f3dbaff1","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-64093b17b3a9c67a41aa33eb37adb53ec38df714","semester":"1262","observed_at":"2025-05-22 02:11:02.531191+00:00","record_version_id":"0e09e46b0f5419dcfaeec6afb23fdd2b25d8480cc6d8f8b5246da3c95514c4cf","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-6885b56099f55e08aa0205546369fb0381d50e13","semester":"1262","observed_at":"2025-07-13 04:59:22.367394+00:00","record_version_id":"5cbc4ff014ce943dec9ba78a473eca15f93fd393d68e452db132192bc46ebb29","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-69d4b2b16e8268f75b6390b3a0e2ce8bf73999da","semester":"1262","observed_at":"2025-06-30 03:21:29.925498+00:00","record_version_id":"26ed3d3f1a71e6eaecc59314a3774c26700b1c26afdc7a69771fc8a09b6187b2","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-6b29c3e0673b2f9a736d2363db5409e03d5b3ed4","semester":"1264","observed_at":"2025-12-03 12:33:41.418072+00:00","record_version_id":"77eb7268c5ee7b7aba7bfc242b5ea73c66d68653b1717e1dabd4fbc0d4378575","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-73259984748de484976ef2ad56ad7ab3d4cb4518","semester":"1262","observed_at":"2025-06-26 08:27:56.461216+00:00","record_version_id":"4996adca977042f130f407cc48ad578ff8ceaebe43835136cdff5f6172d98c41","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-741602fbc6252c232a0b9e6bc1a9ae3101625f5a","semester":"1262","observed_at":"2025-06-30 22:49:32.522034+00:00","record_version_id":"2b479c02e11cea02611901513a8e2ec81d4ec8ba41ec396df3636e9e201d2b19","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-7774f45558276ec29bf626e58fffb4a27bdbb2a9","semester":"1264","observed_at":"2025-11-01 11:49:36.359151+00:00","record_version_id":"ad1bb9b765cb805398d87868e3b4df9e6fd2c339ffb1372c8a3b6a5733cca960","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-7ab7c5e783fc8ebef8b8ee8cea019ee37a72ce74","semester":"1262","observed_at":"2025-09-28 04:58:07.340658+00:00","record_version_id":"73f9be68937fa937c5e2c4902c4bc677fa919855b845ded35495ff998a437473","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-7b2f22d83ea05055ab90dcb77dc802382cccc6f7","semester":"1262","observed_at":"2025-05-21 17:56:46.096741+00:00","record_version_id":"0fd0fa46f86393056b5bd695f3b909ff4b77fe9ff05af092d5b107f9132f88ed","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-7ca1175502be18eb51f7b016818a884a43fd4ebb","semester":"1262","observed_at":"2025-07-29 06:28:23.644795+00:00","record_version_id":"2b0554aff39b20c54e7a9574add4baea6ff0344f54c7aeeb17c57b96079a035f","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-7d8cee5e42602ad9ba5dc0322085af2fa0dffaac","semester":"1262","observed_at":"2025-05-22 01:15:19.291664+00:00","record_version_id":"53b9a35f496ee9a3d93b6da0bf256594982b38259fc35f0883a2f74dc58d2b67","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-81a0d6a7f668c98c59bd05fa988aa079c5ad1f68","semester":"1262","observed_at":"2025-05-31 07:49:50.419452+00:00","record_version_id":"4cf31a3071667c2d547f754181423b4ad68105a00b1715fcf6523b0e2d77eaff","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-82f31c08c746a214872494cde6ecaeb9330441b4","semester":"1262","observed_at":"2025-06-17 21:26:08.547156+00:00","record_version_id":"e9b2a95ab65fe8291f225e7534e691f2a04c53c435932fab0c134e2490cc37d9","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-84c248343c5a99ab42c5616c594812a5e3e31cbb","semester":"1262","observed_at":"2025-07-04 06:00:07.487827+00:00","record_version_id":"37f03ccf9807c574905be2ab6861c47f7eab8bfee4897c73d798cb7587270113","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-86334e7275e315853287e8580c35456c68df800b","semester":"1262","observed_at":"2025-05-22 06:53:03.336354+00:00","record_version_id":"932be21196103f281bcc81409fece1005148d2af2eb5084fa3fa2d57364d1501","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-8686dc1664f93a6c05f50321410961b39b12f91b","semester":"1262","observed_at":"2025-05-28 10:17:41.595894+00:00","record_version_id":"80aee0d95a71babce633e4c5c494eba1f159a3dcd9de62170020dd6205bffd64","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-86d941366886c9a14a2581c04e20d0bdd25e1b02","semester":"1262","observed_at":"2025-08-31 04:54:14.656039+00:00","record_version_id":"2f676ad50f9b7bb8679edc9a5a7f0efe7009d4a4fe376d479c39481a12fa132e","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-8ba1d2e6cfbb1525b4f9f769ec164fb6ad0f237a","semester":"1262","observed_at":"2025-06-02 05:22:45.010398+00:00","record_version_id":"b0fcca7c9f718172c74bfe7890f6c656a3051833d69600d0136c0d6200cf7a8d","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-90e5aa456689a3b222016c05c319bbcd0bddd453","semester":"1262","observed_at":"2025-05-25 02:00:10.037905+00:00","record_version_id":"4c5956df81c9ed34b44b0be1e6c115dc046a06e24ba38b2851910903aa364ebf","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-92d960aa7e4cd6e4c9ac8b2e232092904038e9e4","semester":"1262","observed_at":"2025-06-08 01:50:46.451351+00:00","record_version_id":"64d73fe18c7c75d3122747a19fc4400b4a2521287dbc05f78619f61e8aff4749","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-94002ae588a8f71eca6d64105f2e603e8587293b","semester":"1262","observed_at":"2025-05-21 09:01:16.021508+00:00","record_version_id":"3960da67f22f2a3b546b75f3ec98d2d1c3120decaa2d9f0832f699cbdc23ada4","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-9dd575e013c5c6e000ab3ad2d1288cc1dd9c96dc","semester":"1264","observed_at":"2025-12-21 04:47:46.589081+00:00","record_version_id":"6d592f1a951a2094120563ca38939834c028396c538f5ae47fc92812627ac3e1","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-a1ea26ed78cbd6e94bc3221e50a6ed9b6bf43871","semester":"1262","observed_at":"2025-05-25 09:16:55.180581+00:00","record_version_id":"2716eb85d641667f6e41e5ab2939237b4be05c95c19cc22893a843454e003935","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-a76a3505853d5ea9c13bb98472b87361d469e2ee","semester":"1262","observed_at":"2025-05-28 18:03:41.793846+00:00","record_version_id":"c535110150b55b14fb95691ffb5e21a793e86c7d37ed27083bc5463b27c688c7","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-b285d591f6acf3aa1910e02edc297664db86eb8c","semester":"1262","observed_at":"2025-06-10 22:48:22.460295+00:00","record_version_id":"e6ece996d5778b51d1128c58548ef4e3d1e2f5bcaa5b9f81813a6288a8d8d370","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-b79af756e4f00ba98231feb859ed8e98239eb811","semester":"1262","observed_at":"2025-05-22 02:47:56.931581+00:00","record_version_id":"1cc24d0bb70c17964732c638e2c3db0e4a66c7b2f2124224d40a3ea4789b5d7c","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-b89e05b94730c6471439082d9279c0a834a4aeec","semester":"1262","observed_at":"2025-08-26 20:25:42.325239+00:00","record_version_id":"fc7858074999b755059e42bacd0ba9efc90f8433f5789175d50cf4d755c5ee0b","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-b9279a12d1f2688df9e556183c94d41a89e431dc","semester":"1262","observed_at":"2025-07-06 01:49:47.203835+00:00","record_version_id":"8d8f6a571fac91c50aac1fe4443a0629a33089252410c00c795de09382f361fc","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-bbdc905e96cc681a5e9a8b02c795b682206e36d1","semester":"1262","observed_at":"2025-06-25 08:02:45.445730+00:00","record_version_id":"07f439fedd572b59eebe772998ae91656d250c3d2502b643abf71d2ee9bddb20","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-bde225b5243a13d81827aa173e39c78a652b54a0","semester":"1262","observed_at":"2025-05-23 07:22:33.219345+00:00","record_version_id":"155bb16be71a284e236e8eb26a9a0fa4b9826cf23f16a3a4e77981d96c122b7a","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-c1fac4cbfde737f4f4ac02cdf15e6f5a9b5b676d","semester":"1262","observed_at":"2025-05-22 01:15:19.291664+00:00","record_version_id":"53b9a35f496ee9a3d93b6da0bf256594982b38259fc35f0883a2f74dc58d2b67","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-c6b62be45f8a13cba109ef2a7741b9cd9a6b8272","semester":"1262","observed_at":"2025-08-24 08:48:09.035112+00:00","record_version_id":"e16fa9c8a41f627daa80c74a55ac2205c8ac637d7ede1a25549f136d29b06aff","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-cc83f62cb6db61f39320916d819ad48ce55cd96d","semester":"1262","observed_at":"2025-05-22 00:45:35.735230+00:00","record_version_id":"b10bc9f1adc550509aafadfb0decad8093eb67b9bef7db23cafba432f49571ad","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-d33818a01b6b4c5e2902e704da6e5b713742d4dc","semester":"1262","observed_at":"2025-10-13 10:46:24.251475+00:00","record_version_id":"0e853b435499b21fe43dbc98d0328fb5e1c5821dd595fc050d4d04463dc96f4c","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-d3c17db9832d3064916046caf891dd23f10b1bb9","semester":"1262","observed_at":"2025-08-26 11:30:42.288639+00:00","record_version_id":"4005e5bee4f8e4742db6b457c93fb2724cee4d4c8f54d66b56227a60568d6b2c","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-d4ee226dc44268e9b6767fb9f5f20343322f494b","semester":"1262","observed_at":"2025-06-15 01:52:23.911697+00:00","record_version_id":"57b6133dc5e46601e3aaa45113b773af79cf8518870df031684bb5c86b89cb79","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-d8f9fc7f136e2033556d9d65bbdbdf33425dbdc9","semester":"1262","observed_at":"2025-05-28 16:48:12.400438+00:00","record_version_id":"525ab0dbcc3014320fadabab8a7806c3489ec7e32e17f5b38e7fff4f0bcc8157","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-dbbc9739c616c3846b2e796e00a36fa41225f7d8","semester":"1262","observed_at":"2025-06-01 17:47:19.325144+00:00","record_version_id":"73a05f78017f1f17276d7bc03aaf1ff569e2034d101722bb0dc144d9be541ce8","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-dbe5f2d24b48c3177297a3d69c553cc9d1194bac","semester":"1262","observed_at":"2025-09-14 05:00:27.366070+00:00","record_version_id":"36655a526506bfd04e189735e9d19bda90792be3e6d69a07336b9d4337c70ae9","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-dd357dc2758e9e282c30988a527ce37de92593b9","semester":"1264","observed_at":"2025-10-19 01:39:41.951404+00:00","record_version_id":"67a9f8b80ae3fde24bf4c033b452f76f3ee913c0adaf591e74b7145bd651ff36","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-de74de559e409a3fe668685e28043b888d2e6841","semester":"1262","observed_at":"2025-06-27 07:38:50.882897+00:00","record_version_id":"86ecd1dbd606001529274a0a53ac20dc1ebc1f77784951e8894472cf1829f8bf","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-deca7188cf536ade3203cd88b52a45e92a059617","semester":"1262","observed_at":"2025-06-27 00:37:46.087071+00:00","record_version_id":"67f51b42103133eb69671969c83155ff861c7809e5e3f16521fa62b1d92b287f","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-df60fa9ac3931c5612b0fa641b7a6f5fbec86fab","semester":"1262","observed_at":"2025-05-24 06:36:37.554678+00:00","record_version_id":"bbfae8aca992a70d94ca59d38e851bd344d579d98b7a800b7ed35588cdbe24f5","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-e339da2d849aaf8bb4dceca07a84728af23cf755","semester":"1262","observed_at":"2025-07-23 08:49:22.748925+00:00","record_version_id":"0f1668749804c0b7616338cdec12472ef031e8d5773c02f2c34becb1873350f9","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-e934b1784835f5d36ae9b7ef0992b11e72c39142","semester":"1262","observed_at":"2025-06-01 06:21:25.219533+00:00","record_version_id":"8c5cbe73bc131d72ecd1ee844147410a3b52f1cd63c200516e8343878d829d82","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-ef471690c082448deebd2687eab84b0b78813c36","semester":"1262","observed_at":"2025-06-29 01:47:56.317645+00:00","record_version_id":"c3ccd6003d196dadd64f74c259250cca834a4acffe824e079c88088a81641a13","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-efc4e8e2cd7c3f68e059a308990c00c77c7611eb","semester":"1264","observed_at":"2025-10-16 05:48:13.935141+00:00","record_version_id":"0e8943f4aea5235a35546c13a23ac24d25f53d96bd3480cce00ff75b46de70c5","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"268a65491b6166b79c62ced15f49e5af38ee350db7178ec20dbd316a3d1b032b","course_number":573,"subjects":["ATMOCN"],"title":"RESEARCH COMPUTING IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"Hands-on introduction to open-source research computing tools commonly used in the atmospheric and oceanic sciences. Covers Python basics, including standard data structures, environments, and packages that are useful for analyzing and visualizing a variety of observational and computational atmospheric and oceanic science datasets. Additional open-source tools for version control, sharing code, and collaborating on analysis are also introduced and open science best practice are discussed.","requirements_text":"(MATH 234andCOMP SCI 220) or graduate/professional standing","official_learning_outcomes_json":"[]"},{"run_id":"legacy-f18b7749725097d41f69c60779ff38cf073b93b3","semester":"1262","observed_at":"2025-05-21 19:52:03.259353+00:00","record_version_id":"c9f283bf97898d7c6f452c68bb7e8eeafda236b7d0e6360848d210b5f7d32185","course_id":"ATMOCN 573","course_uid":"course_30d71fd8785734089f898fb6","catalog_version_id":"b68071205256b8b17e7d8a075c6bebd45eb6e2970c087de78b44cf519c47e210","course_number":573,"subjects":["ATMOCN"],"title":"COMPUTATIONAL METHODS IN ATMOSPHERIC AND OCEANIC SCIENCES","description":"An introduction to multiple programming languages and technical computing methods used in the Atmospheric and Oceanic Sciences. Data analysis methods and software development for specialized applications related to the field are also highlighted.","requirements_text":"MATH 234and (COMP SCI 200or placement intoCOMP SCI 300) or graduate/professional standing","official_learning_outcomes_json":"[]"}]