| Call Number | 11904 |
|---|---|
| Day & Time Location |
TR 2:40pm-3:55pm 608 Lewisohn Hall |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Instructor | Yubo Wang |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | The Advanced Data Science Applications in Finance and Insurance course covers topics in object-oriented programming with python, the relational theory and relational database navigation with SQL, deep learning (including traditional machine learning tasks, computer vision, recurrent networks, natural language processing, and large language models), as well as interpretable machine learning. Some topics covered are relevant to the Advanced Topics in Predictive Analytics (ATPA) exam of the Society of Actuaries. Topics in deep learning are also relevant to the statistical learning portion of the Casualty Actuarial Society (CAS) curriculum, and the quantitative methods section of the Chartered Financial Analyst (CFA) Institute curriculum. Familiarity with machine learning models covered in the Data Science in Finance and Insurance (ACTU PS5841) course is helpful. Prior exposure to linear algebra, calculus, statistics, and a working knowledge of python and spreadsheets are necessary. |
| Web Site | Vergil |
| Department | Actuarial Science |
| Enrollment | 14 students (15 max) as of 9:07PM Monday, August 25, 2025 |
| Subject | Actuarial Science |
| Number | PS5842 |
| Section | 001 |
| Division | School of Professional Studies |
| Note | PRIORITY TO ACTU; OPEN TO CU. IN-PERSON. |
| Section key | 20253ACTU5842K001 |