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Academic Writing

Public syllabus for 2025-2026

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Academic overview

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

Curriculum placement

Appears in study plans

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

Teaching team

Course coordinator
(none)
Seminar coordinators
Adrian Crăciun

Learning time distribution

Total
Curriculum Lecture Practice Total Weekly Lecture Practice
14 0 14 1 0 1
Exam hours
2
Individual Study Bibliography study Field study Homework Tutoring Others
9 2 2 4 1 0
Overall
25

Learning outcomes

Knowledge

  • Know the steps for communicating in writing in an academic context.
  • Know how to write in own voice.
  • Differentiate between valid academic sources and nonacademic sources.
  • (6a03a0922355ae3a04d2f214) identifies, explains, and justifies fundamental concepts of data structures, algorithms, and programming paradigms, as well as computer architecture.

Skills

  • Describe own work in writing, conforming to academic standards.
  • Formulate coherent academic ideas, present arguments.
  • Evaluate critically sources and informations in academic writing.
  • Structure academic text with respect to goals and audience.
  • (6a03a0932355ae3a04d2f23e) creates specific professional reports.

Responsibility

  • Express a responsable attitude with respect to academic writing.
  • Reflect critically on ethic behaviour with respect to academic wrtiting.
  • Express autonomy in carrying out academic tasks.
  • (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: cvixcfgf

Course content

Content Methods Obs
- - -

Course bibliography

-

Seminar content

Content Methods Obs
Role of academic writing: describing own's work Identifying problems and solutions to problems. Evaluating existing solutions. Developing one's own solution. Assessing the developed solution in the context of existing solutions. 2
Literature review Literature search and review. Valid sources of literature. Tools for literature management. 2
Writing an academic paper (I) Written presentation of one's own work. Defining audience and operational goals. Planning the structure of the paper. 2
Writing an academic paper (II) Finding one's own voice. Style and conventions. Avoiding plagiarism. 2
Reviews of academic papers Academic reviews. Writing reviews for papers. The role of anonymous peer reviewing. 2
Defending own work Preparing a presentation. Analysis of audience and defining operational goals. Structure of presentation. Giving a presentation. 2
Review and discussions. Understanding one's domain of activity. Ethical considerations. The role and use of AI tools. 2
Bibliography: 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.

Seminar bibliography

This seminar is a companion of Methods and Practices in Informatics.

Corroboration

(none)

AI tools guidance

Limited use is permitted 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
  • -
  • -
S
  • 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)
  • Feedback and discussions on the activities of MPI: collecting literature, writing papers, evaluating papers, preparing a presentation/defense of the paper.
  • 100.0%

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 seminar is a companion of the Methods and Practices in Informatics lectures. The purpose is to provide continuous support and feedback for the activities of MPI. Evaluation will be continuous throughout the semester.