Introduction to Programming
This is an introductory programming course for IT law, Science & Technology, Quantitative Economy, Business Administration, Geoinformatics for Urbanised Society, Innovation and Technology Management students; the students of other departments who aim to pick up programming can also join the course.
The course consists of reading materials, video lectures and practice sessions.
Before each practice session, the students have to work with the reading materials and/or watch the video lectures, solve a test concerning the current topic in Moodle. Solve homework exercises and submit the programs to Lahendus on time, deadline every Monday 23:59 Estonian time. During the practice sessions, the main topics will be reviewed and some exercises will be solved. The students have to submit all programs written during the session right after it to Lahendus.
The online and in person practice sessions take place from week 1 to week 8.
Information about the grading system is here.
More detailed information will be given in the first practice session on week 1 (05.09.2025).
| Number | Before session | Dates | Topics | During session | Homework | Additional information |
|---|---|---|---|---|---|---|
| 1. | Before session 1 | 05.09 | Introduction. Expressions | During session 1 | Homework 1 | |
| 2. | Before session 2 | 12.09 | Conditional Execution | Homework 2 | ||
| 3. | 19.09 | Functions | ||||
| 4. | 26.09 | Iterations | ||||
| 5. | 03.10 | Strings | ||||
| 6. | 10.10 | Files | Project formulation deadline | |||
| 7. | 17.10 | Lists | ||||
| 8. | 24.10 | Graphics | Project deadline and presentation | |||
| 9. | 31.10 | Exam | ||||
| Re-exam | Registration in SIS |
Topics learned:
In case of any questions, post a message in the forum in Moodle or write to your supervisor:
- Reelika Suviste (reelika.suviste at ut.ee)
- Svetlana Golovko (svetlana.golovko at ut.ee)
- Priit Paluoja (priit.paluoja at ut.ee)
- Kaspar Papli (kaspar.papli at ut.ee)
- Ljubov Jaanuska (ljubov.jaanuska at ut.ee)
- Phil Labuschagne (phil.labuschagne at ut.ee)
Tips for success:
We encourage you to discuss home assignments, specific algorithms, properties of algorithms, etc. with other students; we ask only that you do not look at any source code written by a different student, nor show your solution code to other students before the deadline.