| Jean Clipperton | |
|---|---|
| [email protected] | |
| Office | Room 219, 1155 E. 60th St. |
| GitHub | jmclip |
- Meeting day: August 26-September 13, MTWThF
- Time: 9:00am-1:00pm
- Location: week of 8.26: 107 Kent Hall
- Location: 9.2-9/13: IMSI auditorium
- Alejandro Sarria: [email protected]
- Huanrui Chen: [email protected]
- Nalin Bhatt: [email protected]
- Charlotte Zhou: [email protected]
This course surveys mathematical and statistical tools that are foundational to computational social science. Topics to be reviewed include mathematical notation and linear equations, calculus, linear algebra, probability theory, and statistical inference. Students are assumed to have encountered most of these topics previously, so that the camp serves as a refresher rather than teaching entirely new topics. Class sessions will emphasize problem solving and in-class exercises applying these techniques. Students who successfully complete the camp are situated to pass the MACSS math and statistics placement exam and enroll in computationally-enhanced course offerings at the University of Chicago without prior introductory coursework.
-
Students in the Masters in Computational Social Science
-
MA and PhD students in the social sciences who have significant prior training and experience in mathematics and statistics and seek to complete the Certificate in Computational Social Science
-
Students looking for a slower-paced camp focused specifically on algebra, calculus, and probability should enroll in SOSC 30100 - Mathematics for Social Sciences. This two-week course makes no assumption of prior math/stats training. Those of you who struggle with the material of this course may switch after the first week to SOSC 30100.
Attendance is expected but not required. Students are responsible for the content covered in class.
Students can withdraw at any point in the course without penalty. Only students who pass the course have it on their transcript (no W will appear).
Join our canvas classroom by clicking this link This code should enable anyone to join. For assignments, please be sure to upload a CLEAR AND READABLE DOCUMENT that is labeled with the assignment name and your name.
This course may only be taken for pass/fail (non-credit), not for a letter grade or audit. Assignments are comprised of daily problem sets. You are encouraged to work in groups, and the instructional staff is available for consultation during class hours. We expect most students should be able to finish the problem sets during class hours. Grades will be based upon performance on the problem sets and in the final exam.
The final exam is in-person, on paper only. You may bring one double sided sheet of notes and a non-graphing calculator. The study sheets will be collected at the end of the exam. One example kind of calculator would be this calculator. Loaner calculators are available by request if requested by 9/7/23.
Submit your practice questions here. We will use this to generate the final exam and we will circulate the questions here to all students. Note that not all questions here will be on the exam -- it depends upon the quality and variety of submissions.
The University of Chicago is committed to diversity and rigorous inquiry from multiple perspectives. The MAPSS, CIR, and Computation programs share this commitment and seek to foster productive learning environments based upon inclusion, open communication, and mutual respect for a diverse range of identities, experiences, and positions.
This course is open to all students who meet the academic requirements for participation. Any student who has a documented need for accommodation should contact Student Disability Services (773-702-6000 or [email protected]) as soon as possible.
Course texts are subject to change for 2024
- Bertsekas, D. P., & Tsitsiklis, J. N. (2008). Introduction to probability, 2nd edition. Belmont, MA: Athena Scientific.
- Pemberton, M., & Rau, N. (2015). Mathematics for economists: an introductory textbook, 4th edition. Oxford University Press.