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Introduction To Programming

Public syllabus for 2025-2026

Academic overview

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

Curriculum placement

Appears in study plans

Teaching team

Course coordinator
Seminar coordinators
(none)

Learning time distribution

Total
Curriculum Lecture Practice Total Weekly Lecture Practice
42 14 28 3 1 2
Exam hours
2
Individual Study Bibliography study Field study Homework Tutoring Others
8 2 2 2 0 0
Overall
50

Learning outcomes

Knowledge

  • C1. Cunoștințe fundamentale de informatică și matematică: algoritmi și structuri de date, logică și principii de demonstrare, modele și limbaje formale, structuri discrete și modele computaționale.

Skills

  • A1. Abilitatea de a identifica modele formale/computaționale adecvate, de a utiliza instrumente de modelare și de calcul științific, de a analiza eficiența unui algoritm sau a utilizării unei structuri de date.
  • A3. Abilitatea de a identifica algoritmi și structuri de date adecvate unei probleme concrete, de a aplica principiile de dezvoltare a unei aplicații informatice și de a implementa algoritmi într-un limbaj de programare.

Responsibility

  • R1. Capacitatea de a rezolva în manieră autonomă sarcini specifice.
  • R2. Capacitatea de a identifica/selecta soluții/căi de rezolvare adecvate și de a genera idei inovative.

Online platform

(none)

Course content

Content Methods Obs
C1. (2h) Elements of structured programming. Procedural programming. Introduction to C. Data representation. Data types. Variables: declaration, storage class, scope, visibility, lifetime. Read/write functions from/to keyboard/screen. Operators and expressions. Operator classes. Precedence of operators and order of evaluation of expressions. Implicit type conversions. Execution control. The decisional instruction - if. The selection instruction from multiple variants – switch. Lecture, conversation, example References:F. Micota – slidesB. Kernighan și D. Ritchie - Limbajul
C2. (2h) Looping statements – while, for, do while. Instructions to control the execution of cycles – continue, break. The unconditional jump statement –goto. Idem Idem
C3. (2h) Functions. The structure of the programs. Declaring functions. Calling Convention C. Calling Context. Communication between functions. The return statement from the function call – return. Recursive functions. Preprocessing. Macro definitions. Debugging programs. Idem Idem
C4. (2h) Arrays. Strings Idem Idem
C5. (2h) References. Pointers. Memory Leaks Idem Idem
C7. (2h) Data abstracting Structures Idem Idem
C8. Theoretical evaluation Exam

Course bibliography

B. Kernighan and D. Ritchie - The C Programming Language (2nd edition), Prentice-Hall, 1988. B. Kernighan și D. Ritchie - Limbajul C, Editura Teora, 2000. Bjarne Stroustrup - Limbajul de programare C++, Editura Teora, 2003. L. Negrescu – Limbajele C și C++ pentru începători, vol. 1, Ed. Albastră, Cluj-Napoca, 2001.

Seminar content

Content Methods Obs
L1-2. (4h) Simple problems with decision instructions. Debugging programs. Flowgorith intro Problematization, dialogue, collaborative learning Students have access to the problem statements recommended for solving before the laboratory. The teacher provides additional details, answers students' questions and checks/evaluates how students have solved the problems.The homeworks have an week deadline.
L3-4. (2h) Problems with repetitive instructions. Definition of test scenarios. Input redirection Idem Idem
L5-6. (2h) Decomposing problems into subproblems, defining and calling functions. Debugging code using macro definitions Idem Idem
L7-8. (2h) Solving problems with one and two dimensional arrays Idem Idem
L9-10. (2h) Pointers. Passing parameters by reference Idem Idem
L11-12. (2h) Structures Idem Idem
L13-14. (2h) Review Idem Idem
Bibliography: Same as the course

Seminar bibliography

The content is consistent with the structure of similar courses from other universities and covers the fundamental aspects necessary to become familiar with the design and analysis of algorithms. The ability to identify, design, implement and analyze algorithms is essential to any computer science activity. The skills offered by this discipline are necessary for an IT specialist to identify effective solutions to solve concrete problems, regardless of the specific field of activity.

Corroboration

(none)

AI tools guidance

(none)

Evaluation and delivery

Activity Criteria Methods Percentage
C
  • • Knowledge of fundamental concepts of programming languages;
  • • Knowledge of peculiarities of the C/C++ language;
  • • The ability to identify the algorithm and data structure suitable for a specific problem and transpose the solution method into the C/C++ language
  • Written test in week 13-14
  • 30.0%
S
  • Ability to describe/solve problems in C
  • Laboratory activity
  • 10.0%

Performance standards

Minimum standard (knowledge and skills required for grade 5) Knowledge of fundamental concepts common to programming languages Knowledge of fundamental concepts related to the particularities of the C language The final grade is calculated as the weighted average of the grades awarded for the components specified in 9.4 and 9.5. The exam is considered passed if the average is at least 5 (it is not necessary for each grade to be higher than 5). At each of the exam sessions (including those for arrears and increases) the grade is calculated according to the same rule. Note: Students can participate in consultation hours (2 modules/week according to the planning established at the beginning of the semester) during which the course or seminar lecturer answers students' questions and provides additional explanations related to the course content, laboratory applications and assignments. Use of GenAI: It is not recommended to use GenAI when completing assignments. If the student uses GenAI to solve assignments, he/she will add the prompts used as a comment in the program's source file. Failure to comply with this requirement may result in the assignment being canceled.

Additional info

(none)