Course Information
- Location: Melmed 006
- Time: Wednesday, 10:00 - 13:00
Instructor Information:
Tel Aviv University- Dr. Slava Novgorodov
- Feras Baransi
- Dr. Amitai Armon
- Dr. Itay Lieder
- Dr. Adi Szeskin
- Avishai Wagner
Course Goals and Short Syllabus:
The course will provide an overview of data science methodologies and technology, including data understanding, modeling and analysis in big scale.
A joined set of teachers, from Intel and TAU, will cover each of the topics from both theoretical and practical perspectives.
Course Format:
Each class will be a 3 hours lecture (given by one of Intel lectors or by Dr. Slava Novgorodov) or a 3 hours recitations given by Feras Baransi.
Homework - 3 HW assigments during the semester (submission in pairs) - 30% of the final grade
Final exam - 70% of the final grade
Exam - Moed A: 15.07.2025
Exam - Moed B: 11.08.2025
Requirements:
- Introduction to Probability/Statistics, Algorithms
Course Material:
All the material is available in Moodle.
Course Schedule
| # | Date | Given by | Title | Note |
| 1 | 19.03.2025 | Avishai Wagner | Introduction to Data Science, Data Understanding | |
| 2 | 26.03.2025 | Avishai Wagner | Feature Selection | |
| 3 | 02.04.2025 | Feras Baransi | Recitation #1 | HW #1 [pdf][ipynb], until TBD |
| 4 | 23.04.2025 | Dr. Lieder | Data Modeling #1 | |
| 5 | 07.05.2025 | Dr. Lieder | Data Modeling #2 | |
| 6 | 14.05.2025 | Dr. Szeskin | Introduction to Deep Learning | |
| 7 | 21.05.2025 | Feras Baransi | Recitation #2 | HW #2 [pdf][ipynb], until TBD |
| 8 | 28.05.2025 | Dr. Novgorodov | Big Data - Overview | |
| 9 | 04.06.2025 | Dr. Novgorodov | Big Data - MapReduce | HW #3 [pdf], until TBD |
| 10 | 11.06.2025 | Feras Baransi | Recitation #3 | |
| 11 | 18.06.2025 | Dr. Novgorodov | Course Summary | |
| 12 | 25.06.2025 | Dr. Novgorodov | Exam Preparation |