204453 Pattern Recognition
(Section 701)
General information
Class meeting: Tue-Fri 9.30-11.30
Lecture @ CSB210
LAB @ CSB308
Teaching format: Hybrid (online via MS Teams)
Main communication channel: MS Teams
Tools: Python programming language + Scikit-learn
Books
Christopher M. Bishop. 2006. Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag, Berlin, Heidelberg.
Murty, M. N., Devi, V. S.: Pattern Recognition: An Algorithmic Approach (Undergraduate Topics in Computer Science). Springer (2012)
Schedule
23 August
23 August
Exam preparation (No class)
26 August
26 August
Exam preparation (No class)
Midterm Examination -- 2 September 2022, 12:00 - 15:00, online via Exam Moodle
27 September
27 September
30 September
30 September
Project discussion
11 October
11 October
No class
14 October
14 October
Holiday
18 October
18 October
Project presentation
Final exam: 2 November 2022 @ 8.00 - 11.00