The professor himself was a great person. However, it was hard to understand since he chose not to provide the lecture slides before the lecture, he thought students would not come. He uploaded the lecture slides after lectures sometimes on that weekend or the the week after that weekend. The final which was very important was really unexpected.Rate My Professors ↗
Current instructor
Somesh Jha
What students say
Original student reviews · all captured dates
Somesh himself is a decent professor. However, there is no transparency whatsoever in this class. The curve by which the class is graded is unknown until the end of the semester after the grades are in, meaning you have no idea what your grade is. Makes everything easy until an impossible final exam (worth 30%) which only focused on like 4 conceptsRate My Professors ↗
Somesh is extremely passionate about crypto. He does well at making lectures engaging and understandable. He is very helpful outside of class as well, and he usually does not move on until the class understands a topic. The exams/quizzes are difficult, but if you study and understand the materials, they're not too bad and the graders are generous.Rate My Professors ↗
Somesh was one of the best professors I have had in the CS department. He is funny, engaging, and helps guide students to find solutions to the homework easily, without just doing the work himself. He introduced lots of tricks and ideas to help make difficult subject matter easy to understand, and made sure the class still had fun.Rate My Professors ↗
6 homework assignments, one 100% for turning in your name,lowest dropped so it was graded on 5 homeworks+free 100%, 2 midterms and a final. Low maintenance, so good to take with hard classes but the exams were kinda impossible unless you memorize every word of each topic. The final was a trick, it was weird math and didn't include half the topics.Rate My Professors ↗
Somesh is one of the best professors I have had for a while. He is very engaging with the class, and makes very complex ideas around crypto easy to understand. He gives plenty of time for homework (with there only being 7*) and assigns them only when discussed in lecture, Overall, a very nice guy who loves the material and wants you to love it too.Rate My Professors ↗
Personal experiences, not a representative survey. Profile matching and captured coverage are shown in the source details.
Classes with Somesh Jha
Directed Study
1–6 creditsDirected study projects for Computer Science juniors and seniors, arranged with a faculty member.
Offering recorded · Spring 2027 · Sources
historical GPA · grades
Fall 2022–Spring 2026 · limited sampleMaster's Thesis
1–9 creditsGrad st; Master's candidates only
Offering recorded · Spring 2027 · Sources
No recorded grade history
Master's Research
1–9 creditsOffering recorded · Spring 2027 · Sources
No recorded grade history
Pre-dissertator Research
1–9 creditsPre-dissertator independent research supervised by a faculty member for students who have completed a master's degree but have not reached dissertator status.
Offering recorded · Spring 2027 · Sources
Dissertation
1–6 creditsAdvanced level mentored reading and research for students with dissertator status.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Trustworthy Artificial Intelligence explores security and privacy, covering differential privacy, algorithmic fairness, adversarial machine learning, and end-to-end trustworthy systems.
Offering recorded · Spring 2027 · Sources
Recent recorded grades — Spring 2024: 3.90 GPA, 100.0% A/AB (n=21 letter grades); Spring 2026: 3.95 GPA, 100.0% A/AB (n=60 letter grades). Includes jointly taught sections.
historical GPA · grades
Spring 2024–Spring 2026 · limited sampleRecorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor →Browse recorded courses
| Term | Course | Title |
|---|---|---|
| Spring 2027 | COMPSCI 699 | Directed Study |
| Spring 2027 | COMPSCI 790 | Master's Thesis |
| Spring 2027 | COMPSCI 799 | Master's Research |
| Spring 2027 | COMPSCI 899 | Pre-dissertator Research |
| Spring 2027 | COMPSCI 990 | Dissertation |
| Spring 2027 | COMPSCI/ECE 763 | Trustworthy Artificial Intelligence |
| Fall 2026 | COMPSCI 699 | Directed Study |
| Fall 2026 | COMPSCI 702 | Graduate Cooperative Education |
| Fall 2026 | COMPSCI 790 | Master's Thesis |
| Fall 2026 | COMPSCI 799 | Master's Research |
| Fall 2026 | COMPSCI 899 | Pre-dissertator Research |
| Fall 2026 | COMPSCI 990 | Dissertation |
| Fall 2026 | COMPSCI/ECE/MATH 435 | Introduction to Cryptography |
Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
Instructor identity & provenance
{
"instructor_uid": "instructor_49b6ede936b9533af32a49c1",
"source": "enrollment",
"source_instructor_id": "sjha",
"identity_basis": "netid",
"identity_status": "source_identified",
"name": "Somesh Jha",
"email": "JHA@CS.WISC.EDU",
"first_observed_at": "2026-09-07 15:55:43.033547+00:00",
"last_observed_at": "2026-10-14 17:50:09.728220+00:00",
"ratings": {
"review_count": 22,
"quality": 3.91,
"difficulty": 3.27,
"quality_count": 22,
"difficulty_count": 22,
"profile_id": "rmp:981721",
"source_url": "https://www.ratemyprofessors.com/professor/981721",
"match_basis": "exact_name",
"observed_at": "2026-10-14 18:32:29.718749+00:00",
"courses": {
"course_2e71825a82859020279c78b8": {
"review_count": 21,
"quality": 3.86,
"difficulty": 3.29,
"quality_count": 21,
"difficulty_count": 21
},
"course_20918224366f6bbd226f8ec0": {
"review_count": 1,
"quality": 5,
"difficulty": 3,
"quality_count": 1,
"difficulty_count": 1
}
},
"bayesian_quality": 3.7905683716649863,
"prior_mean": 3.65919358049647,
"prior_weight": 20
},
"current": true,
"courses": [
{
"course_uid": "course_059395ab1bb5e9c017244fe2",
"course_id": "COMPSCI 899",
"title": "PRE-DISSERTATOR RESEARCH",
"credits_min": 1,
"credits_max": 9,
"gpa": null
},
{
"course_uid": "course_41ec49f5d21356e650473254",
"course_id": "COMPSCI 990",
"title": "DISSERTATION",
"credits_min": 1,
"credits_max": 6,
"gpa": null
},
{
"course_uid": "course_9430df00f7270c292c1efdd3",
"course_id": "COMPSCI 799",
"title": "MASTER'S RESEARCH",
"credits_min": 1,
"credits_max": 9,
"gpa": null
},
{
"course_uid": "course_9d6a2127ca0ecacfc4832696",
"course_id": "COMPSCI 699",
"title": "DIRECTED STUDY",
"credits_min": 1,
"credits_max": 6,
"gpa": 3.947
},
{
"course_uid": "course_d824bc76d129a20a49869bb7",
"course_id": "COMPSCI/ECE 763",
"title": "TRUSTWORTHY ARTIFICIAL INTELLIGENCE",
"credits_min": 3,
"credits_max": 3,
"gpa": 3.804
},
{
"course_uid": "course_f71b15e0cc44524b7ec290df",
"course_id": "COMPSCI 790",
"title": "MASTER'S THESIS",
"credits_min": 1,
"credits_max": 9,
"gpa": null
}
],
"revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"instructor_url": "/instructors/SOMESH_JHA"
}