[{"run_id":"20260906T231458-5fdd2fff","semester":"1272","observed_at":"2026-09-06 23:14:58.172943+00:00","record_version_id":"4f52253b913757fd383318a1c291c20b1ae83b250a3b0669b1afcf610d5bbe29","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"4f52253b913757fd383318a1c291c20b1ae83b250a3b0669b1afcf610d5bbe29","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"f4791384168d31382edf8a9094c7d583f21577230c13af54fb03c58c2264462b","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"4500000bbe6f2e1d24419fe23b23d553d94d4725f71033708a4f7030b3166650","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, or graduate/professional standing","official_learning_outcomes_json":"[{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:50.883639+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/f_w_ecol/\",\"term\":null,\"text\":\"Demonstrate introductory skills in using collaboration technology (e.g. Jupyter Notebooks) to write, edit, and run programs in a scientific programming language (e.g. Python)\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:50.883639+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/f_w_ecol/\",\"term\":null,\"text\":\"Recognize, read, write and use common environmental dataset formats\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:50.883639+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/f_w_ecol/\",\"term\":null,\"text\":\"Use a scientific programming language (e.g. Python) to read and process environmental data\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:50.883639+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/f_w_ecol/\",\"term\":null,\"text\":\"Produce visualizations of environmental data, including basic scientific charts, statistics, and maps\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:50.883639+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/f_w_ecol/\",\"term\":null,\"text\":\"Understand fundamentals of modern machine learning algorithms and gain experience of practical use of them\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:50.883639+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/f_w_ecol/\",\"term\":null,\"text\":\"Solve real-world data science problems individually and in teams\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:50.883639+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/f_w_ecol/\",\"term\":null,\"text\":\"Identify the frontiers in real-world environmental science challenges and how data science can help\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:50.883639+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/f_w_ecol/\",\"term\":null,\"text\":\"Identify a problem in environmental science that may be solved or better understood through data science, provide a basic visualization or analysis of a data set associated with that problem, and communicate findings effectively\"},{\"catalog_year\":\"2026-2027\",\"observed_at\":\"2026-10-14T17:51:50.883639+00:00\",\"source\":\"catalog\",\"source_url\":\"https://guide.wisc.edu/courses/f_w_ecol/\",\"term\":null,\"text\":\"Develop in-depth spatial and/temporal analyses using advanced data science tools (such as machine learning) and visual datasets related to your own research or anticipated area of research that meet the standards of scientific journals, critically evaluate your findings, and situate them within the larger context of current research literature\"}]"},{"run_id":"legacy-03b0bbb9723907cf3d1b41cf0bb34837dc398e42","semester":"1262","observed_at":"2025-04-16 05:20:33.104844+00:00","record_version_id":"041f1a77f210058c3dd30713d4dfd82c64c9b712a9266e5c7ace45cfbfb5d4ef","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"041f1a77f210058c3dd30713d4dfd82c64c9b712a9266e5c7ace45cfbfb5d4ef","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"9ad27ac32aeedc534e178a562e7695f460e75c79b644af425217695e494e5e56","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"75c83fdcf69855804fbef73dfbc4ecc7ebf2d94278222862a4ee7bf06519e42b","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"fcf4e689b26e12680df694c7d5350de8218423c75a6aee6c88690a4bfa710256","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"1b4d599af326d0c953330a24cd5b81f81f9ee45358c736888d8f852c2da64ad1","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"4f786a3d7b76a259e56b659c96891201f83cabb042d967255ae8411a8a48518e","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"5a9b534561304b3929c12d7cd7701da357e52a96883aeb52c102d24d4e91b665","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"59b1550b9181bd08c49fe27722d102a2c62a43c99c21eee4460e685dccb68ac0","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"43f039488d18ef4f8ee109aa4dcb8ec4fc68bfeabd57eb1eddc65a1b99c9f17b","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"45aa1a6ecd3a9bb4a33b805d7a84c007840a79b4d50a0f19dd3ab87a50a0bab1","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"4233e8cdb21a5ec1b867b8a44957079966cbad181777370d77008650d7a1570c","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"5e84e41123d270be8ab10e8fc57bd17313c07af59de7a732dc7dbf6913969005","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"d70d76e30ea095870f4c8511dc517b14bc238680748802535f81231dc83a8cbc","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"1d631474bc642fbdbd22ed7971b1e58f9ec4f7ab4892ed932c35e6906c21c9b2","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"cd9d726210dae9c89b6b69340b4521fa44c7f93ca9f2a78da2a8f58aacef4ba3","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"5a7c0e44b5f5a0489f202f41f9a9786191e9a1a2b6ef1fdbd1b7de6f3b31ce0c","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"b5cfef2dfe341d5a3435c06179feb1dd86c7ab4860ee1112bea67a1e217ef0b6","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"306147bfbb364a10b2137a977abac598158a9911131773c3b9a22825356f4dd9","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"99963ed207a27d05ba70baa7cbf0344c8be9f29a88dfa54871e98c2cc8ca706a","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"b7e0939a2c1fcec874792fd2625cc37fabbde4e2dfb014f23cb7f95c20a1ea76","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"0dfc9b15a873496fad51799dfc6f95a37c64037331ea0a9d54e18483cb6ab966","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"f74b6cc3b939a9dbdb3ce13c3336a4ac197f00a26f0540b41845f416bff7eca2","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"1c6dc858ba92ed1d0bc149b9cf0f54d5cc43b1473ce929acaad6f0e2baac052f","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"e63bb56b5358bf2d291a9448e6e33fa572ffa7b24ff951926ee22b9628338c4d","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"485fb18a67596ea7e79c534cb9e97a10094ea43bbb21db21b1bcff0299b83596","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"db23008b250719afd7321b427f9399b2043ed82be76db0e7f474d289a05f222a","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"d81b15afe45550d5d3fd733fd6485a5c785027c5224a0e7bdac89d5cda88755d","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"1cb0d97c477c07b9d925fe2c8cf7f0bd82017019241d1241a645ae3e98d90cda","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"52d441dd409048f1127f6bcae8d33cd818dedbf5067e3fe635e2144f4668d417","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"80e168d415c762d4fff50b79bc9fe59593e47d43e6bd12dce00527b5ec6158a1","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"d265170e6bd65c0aa16a5cbfe45ca976b0e752d0a7ad06773652641eacf53385","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"54cb962f4e230bb065acb3dd3547086046d01e44fce9a7e77c2721b9efa053ec","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"f6d7e3d6d97014c683006ba8446e771f670f48f68da82de0369f6ebf4ad8908e","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"61b2a512b96a331c7793e53f3ae533633fa6e2abf0e23f17d2a24dae8e10a88e","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"c87c53af84d1cb402ae1ecfebddba6da8da6330c986c0ea1fa209dc528f2c9c0","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"82466c1a0d19ba09bcb0f71c741aee52e73e5c866d11db32c0a0adcca74f9f02","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"809fb8af999511b79e0c9369a02a4842ee9fb7331c30f3bbd3eb7c6974241059","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"296e34661b5add5bddf7d0bc6768ff5bb676436b13542f4a0417341c3fa766a4","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"9aac6f851dbd007a47b25830c2809e8101cd62c20e0db7e34a6482d8be6e1de2","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"fbaebbf1a31d519c52539f39c6f02b42a9fee5367ca39ff0cb88c90d37dfa686","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"35742c7811a5688f78ca05caf53b56cd2565a5e4f9c1b970cad0862ff5fecf62","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"400409c9f59eb14c7b4148f7f0646d130d81cc03e03d7739c8495847c754a1fd","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"980b1559b23dc98b3da55b2215b5d305c01f11b855af94ce6eaae86e4ac2dd88","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"2c5a72fc97f4c91b8b323d746f7e65fca36316d9ff42cd219d4b4aaa19447016","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"81990eeb62068e0f1770b6d7b5944ee24cfb95db9a3ad0707faece87d28ca5df","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"e0212777cf9cf22bd68c60198a1e3a547b6fba3f710429e59dd25fbc83354a12","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"1b3509f2c8529692d37ee9bebdc5bbe8092280c907c0be34d83975a57a54444a","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"994db085b7ee6abc814129d977173c5de5a81c10236470f0d789e2d466c83a34","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"784e420079387a0bfb46598acff274f2d7c88a1446d5793d6d215225bb5fba3c","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"f66d3eb368f78a5d2de9fb12cc09e21624b2917e6992fbf85d318bd2ee3375b6","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"153d92abcf5c4f1128e9b469189731b0fab1e4f21bc7e381d0f1a221e63ff9b7","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"1d9b12108fe8a3bd38208cb962494d89ae2ac7f72f485d5443972a92f522f289","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"3d8664f4de32454347021c25aa9ca8d7f562c0c9f659a9ac606c24d90a196f1f","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"7dd817ef7b6aa130aba4900e481408e5d97c18c94efe8c2942723996468d8ac9","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"24cdde58b177be27193fd278fec9d12d05852249b4f00ab259f9d7e6366e9dc1","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"1f9a74d1ab7563d0aab2428e2aa7cfd43ddd88d4328e24018c50ffa7467739a1","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"e506a1117f3194e23e491e4c37f1a08e1f011f05c9c2f2b44d6802b95ec81cb4","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"0267e5b55938125ee917c49e5392d296d6bb3852e1fc0ff0733b2d5d76b37dbf","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"1f547ecef6c5a8ee61ebf6490c8ba2673b86d514a768c2e2541ce2d0747d5408","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"156e8f9c29cfb080a39d4f56623c0986a6acc4c58618316f22ac34335484a602","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"5d0a4fa8d527013ccdbb308576699caa547a823a2ac980b25e6cdcfa4a469984","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"c2b76c8911772d7d4b95fb36e2f3e6263a1318b5f43681247cda12238122e659","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"416789cbfa020051e2fb2acb0dfec08dbc85e6a58ea0780cb3282230ccb44343","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"2c5a72fc97f4c91b8b323d746f7e65fca36316d9ff42cd219d4b4aaa19447016","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"fb2030d0f53eb96c4faee7d7ffba960eef2444721cc2ac1c1a209a6415caa596","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"0d6a46b2d9254fdea37aaafbf66e5f3a90f218e619a7b5bf161adc270bb34068","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"31e9576f4bb17aeef94251b0a66aeea28aa942b06fdc12bb33d9ecbfa6502dac","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"0bc7d89a3d516ce7cab182301ff37af4a22e5d14045d2c55c2d6f7750868bb83","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"b5e474de1997b7a7aa3dd55388ccf3a614736f75bd290d5e1223181c3638b000","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"643c3a726a862c9fcf5e98e14176299ed40f7807dcf4f9e732a8550f4b71483f","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"69a75489d21285f5d057e13ec411af28b9de473ed70dee67e50b80bcd0bcae11","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"9f875a7e6c6f167cb25bc294d36efa3f6cbae9070806808ce03a65656616f7e4","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"98da0db9ae4a300f9feae1ed820f145519179088a15d66fae6e0e403542bf421","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"9b2b9e7c589f0926139fba1ce038494852e19cd1a3ea561eca842c0be1af8f51","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"b6c63616cc23257badcc9b87a0343b4f74a7365bb4183b6e54c76bb0a37b9313","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"443f65485ca20208890ee8751b1336c3c493683052cd599480cf224208c7e477","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"a291a4da3f4ee0d6e490b9b7f97f329985c6758451096f23b774cee12617a1ae","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"010e24130f071cc60d04f0ee9b29f215a9d3fa92167fd9b9d0125cd153862ec1","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"86df9a50645e7af3094106821e1df3d8a0259e500de56e0d21ee3b1036421e8e","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"07fdf5195368a4201d05364ac57b9420e17e7da7b4703c16147778604ef16001","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, 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":"40ded4e1cdd1877455167ad3ea0b67b898e5ffdb9312cd95a6f25f27a65a085f","course_id":"F&WECOL 458","course_uid":"course_4125898f74a0419b4957be76","catalog_version_id":"2c599535515395cbcb6862e8ddffeaab53add5e47efd31f642d59c8d4c7b5b0b","course_number":458,"subjects":["F&WECOL"],"title":"ENVIRONMENTAL DATA SCIENCE","description":"Introduces fundamental machine learning techniques for numerical modeling and data analysis and modern computer programming tools used to analyze, prepare, and visualize data from common formats of datasets in the field of Earth and environmental sciences. Emphasizes opportunities to consider real-world applications for concepts in environmental data science.","requirements_text":"STAT 240,301,324,371, or graduate/professional standing","official_learning_outcomes_json":"[]"}]