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Methods and Practices In Informatics

Public syllabus for 2025-2026

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Academic overview

Programme
AI
Period
Year 1, Semester 2
Credits
4
Weeks
14

Curriculum placement

Appears in study plans

AI (2025 - 2028) Year 1, Semester 2 Mandatory subject

Teaching team

Course coordinator
Adrian Crăciun
Seminar coordinators
Theodor Grumeza

Learning time distribution

Total
Curriculum Lecture Practice Total Weekly Lecture Practice
42 28 14 3 2 1
Exam hours
2
Individual Study Bibliography study Field study Homework Tutoring Others
56 21 10 15 10 0
Overall
100

Learning outcomes

Knowledge

  • Give an overview of the field of computer science, with a description of the various subdomains focused on the main activities: theory, experiment, design. Then present how information can be extracted from literature, what are the valid sources of such information. How to write a scientific paper to transmit efficiently the results of work. How to present the results of work.
  • (6a03a0922355ae3a04d2f214) identifies, explains, and justifies fundamental concepts of data structures, algorithms, and programming paradigms, as well as computer architecture.

Skills

  • Identify, access, organize scientific knowledge.
  • Write efficient, standard scientific papers in wich own work is presented, using standard typesetting tools.
  • Use standard tools to find, organize scientific information. Use standard typesetting tools (LaTeX, BibTeX), to write and present scientific and technical information. Learn how to communicate effectively in writing and spoken form.
  • (6a03a0932355ae3a04d2f23e) creates specific professional reports.

Responsibility

  • Communicate, gather information, identify problems, engage efficiently in different scientific and technical domains.
  • (6a03a0942355ae3a04d2f2db) develops a collaborative environment and takes responsibility for the successful and timely delivery of projects according to requirements.

Online platform

Google Classroom, access code: af6p7yux

Course content

Content Methods Obs
L1. Organization. Computer science overview. Activities in computer science (theory-experiment-design). Maps of computer science. Q&A/Lecture/Dialogue 2
L2. Computer science, overview: exploring the subdomains of computer science Q&A/Lecture/Dialogue 2
L3. Valid information in computer science. Literature. Monographs. Articles in journals. Q&A/Lecture/Dialogue 2
L4. Articles in collections. Special collections. Technical reports. Tools: bibliography management Bruno Buchberger. Thinking, Speaking, Writing. Manuscript. 1999 Matt Young. The Technical Writer's Handbook. Writing with Style and Clarity. University Science Books. 2002. Peter J. Denning, Douglas E. Comer, David Gries, Michael C. Mulder, Allen Tucker, A. Joe Turner, Paul R. Young. Computing as a Discipline. Communications of the ACM, Vol. 32, No 1, pp. 9-23, January 1989. Peter J. Denning,Computer Science: The Discipline, in Encyclopedia of Computer Science (A. Ralston, D. Hemmendinger, eds.), Wiley, 2000. Allen B. Tucker, Handbook of Computer Science, Chapman&Hall/CRC in cooperation with ACM, 2004. Q&A/Lecture/Dialogue 2
L5. Writing (I): structure of a paper in computer science. Title, author block, abstract, introduction. Formal presentation of problem and solution Q&A/Lecture/Dialogue 2
L6. Writing (II). Implementation. Case studies. Related work. Conclusion and future work. Bibliography. Appendices Q&A/Lecture/Dialogue 2
L7. Experiments in computer science. Q&A/Lecture/Dialogue 2
L8. Evaluating papers: Evaluation „algoritihm”. Q&A/Lecture/Dialogue 2
L9. Evaluating papers: Evaluation reports. Tools Q&A/Lecture/Dialogue 2
L10. Presentations (I). Preparing a presentation. Presentation script Q&A/Lecture/Dialogue 2
L11. Presentations (II). Delivering a presentation. Q&A/Lecture/Dialogue 2
L12. Rewiew. Revisiting the map of computer science Q&A/Lecture/Dialogue 2
L13. Presentations (I). Q&A/Lecture/Dialogue 2
L14. Presentations (II). Q&A/Lecture/Dialogue 2

Course bibliography

Bibliography:

Seminar content

Content Methods Obs
S01-S07. Practical work based on the topics discussed in the lectures. Summary of lecture materials. LaTeX for writing papers, preparing slides. Presentation (by students). Dialogue. 14
Bibliography: CTAN: Comprehensive TeX Archive Network (ctan.org)

Seminar bibliography

This lecture will provide the necessary information to work in computer science (solve problems, present results in written and oral form) that are standard in the scientific and industrial community.

Corroboration

(none)

AI tools guidance

Use of generative AI tools is generally not allowed. Limited use is permitted for constructing/exploring the map of computer science and for technical reference (setting up the experimental side of the project). Any use of such tools must be documented and submitted on the platform (details to be communicated).

Evaluation and delivery

Activity Criteria Methods Percentage
C
  • 10: excellent (outstanding performance with only minor errors),
  • 8-9: very good (above the average standard but with some errors),
  • 6-7: satisfactory (fair, but with significant shortcomings),
  • 5: sufficient (performance meets minimum criteria),
  • 0-4: fail (significant work has to be done)
  • Evaluation consists of:
  • - writing a paper, then submit through Easychair
  • - evaluating 3 papers through Easychair
  • - giving a presentation on the subject of the paper
  • - constructing a map of computer science
  • This is a practical course, most of the work will be done during the semester.
  • 140.0%
S
  • The purpose of the seminar is to support the activities of this practical lecture.
  • -

Performance standards

Basic knowledge of the concepts presented in the lecture: explain and apply. Minimal knowledge is measured by reaching the grade for passing the exam (5).

Additional info

This is a practical lecture, activities must be sustained throughout the semester.