Information

• Actualities
• Classes
• Moodle
• Subjects covered
• Requirements
• Evaluation
• Consultation

Actualities

• Both the practical part of the course and the homework assignments will be completed in pairs. Please form pairs in advance, and make sure that each pair brings a laptop with Internet access for every practical session. Extension cords with multiple outlets will be available in limited numbers if needed.
• The use of communication channels:
  • neptun: the official channel, final marks, important and prompt messages
  • Moodle: submit everything here, evaluation will also take place here. Please note that the final mark depends only on the sum of the points collected in moodle. Moodle may offer some weighted score, just ignore it.
  • The official institute webpage, requirements are posted here.
  • Please note, that I do not use microsoft teams on a daily basis, so do not use the chat system of the teams to communicate, it will be ignored. If you have any question write an email to me torok.janos (at) ttk.bme.hu.

Classes

• Lecture: Wednesdays 14:15-15:00, Room: F3213, lecturer: János Török Email: torok.janos@ttk.bme.hu
• Practice classes:
  • T1: Thursdays 12:15-15:45 Room: R108, instructor: Imre Varga
  • T2: Thursdays 12:15-15:45 Room: F3213, instructor: Bendegúz Nyári
• Practice assistants: Kornél Dobos

Moodle

• The faculty moodle system is located at https://edu.ttk.bme.hu/. You can log in using your university id. Courses should appear soon. All works must be submitted using the moodle system.
• Pairs will be assigned in the moodle system.

Subjects covered

1. kNearest neighbor
2. Decision tree
3. Random forest
4. Lin/log regression
5. Support vector machine
6. Dense neural network
7. Convolutional neural network
8. Principal component analysis
9. Maximum Likelihood
10. kMeans
11. Genetic algorithm

Requirements

• Submission of the notebook with meaningful progress until deadline for 70% of the courses.
• At least 40% performance on the individual lecture test.
• Presentation of the project
• If these requirements are not met no mark is given, instead it will be set to requirements not fulfilled.

Evaluation

• Homeworks (pairs): 10 points/HW (for both)
• Practice solutions (pair): occasional varying number of points (extra points!)
• Project and its presentation (pair): 100 points (for both)
• Test at the end of the semester from the lecture part: individual, 40 points
• At the end of the semester all the points will be summed up and the 100% performance is equivalent to gathering 240 points. (Note that this includes only 10 homeworks but 11 will be given..)
• Marks
  1. -95
  2. 96-131
  3. 132-167
  4. 168-203
  5. 204-

Consultation

• Upon request, please write an email to the required professor.

Last modified: 07.02.2025