This course complements the cross-faculty course in Foundations of Python Programming and Data Mining. Students will work on practical assignments in small groups under the instructor's supervision.
Duration: 1 semester, 12 workshops
All classes will be held offline.
Competence evaluation: the results of the cross-faculty course in Applied Problem Solving by Programming in Python will be evaluated in a test.
Course Leaders:
Timofei Khiryanov
System software developer, instructor on specialist training programs, associate member of the Free Software Foundation
Course Instructors:
Olga Migacheva
Education
Applied Mathematics and Information Science
Lomonosov Moscow State University
Areas of Expertise
Mathematical Methods in Economics
50 students will be admitted
Students eligible to take the course will be selected based on the results of the homework assignments for the first two lectures of the Foundations of Python Programming and Data Mining course.
Classes will be held on Wednesdays, from 5:00 to 6:30 p.m.
The first class is tentatively scheduled for September 22, 2021.
FRIDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: A. Ganichev
THURSDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: A. Marakulin
MONDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: D. Penzar
SATURDAYS
09:00–10:30 — period 1
10:40–12:10 — period 2
12:10–13.00 — break
13:00–14:30 — period 3
14:40–16:10 — period 4
Instructor: I. Konyushok