Programming II

Learning time distribution

Learning outcomes

Knowledge

• (6a03a0952355ae3a04d2f313) Understanding how the computational complexity of an algorithm is determined and the specific requirements for scalability;

Skills

• (6a03a0952355ae3a04d2f317) Designing, implementing and testing software modules suitable for processing and analyzing large volumes of data;

Responsibility

• (6a03a0952355ae3a04d2f31a) Responsibility to act in accordance with the interest of users;
• (6a03a0952355ae3a04d2f31c) Correctly representing the level of competence and accepting tasks within its limits;
• (6a03a0952355ae3a04d2f31f) Continuous improvement in the practice of the profession;

Online platform

Course content

Course bibliography

[1] Bjarne Stroustrup – The C++ Programming Language 4th Edition. Addison Wesley, 2013. [2] Brett McLaughlin, Gary Pollice, David West – Head First Object-Oriented Analysis and Design, O'Reilly, 2006 [3] https://bitbucket.org/danielpop/programming-ii-lectures/src/year-2024-2025/

Seminar content

Seminar bibliography

It is nearly impossible to develop applications nowadays that are not using object-oriented paradigms. Object-oriented modelling and implementation are the de-facto approach to implement complex systems across multiple businesses (financial, automotive, or online commerce) or research projects in academia. The local, national, and international workforce market is continuously looking for highly skilled personnel to develop applications and platforms using object-oriented paradigm.

Corroboration

(none)

AI tools guidance

Evaluation and delivery

Performance standards

Minimum Performance Standard ------------------------------------ - Knowledge of basic concepts of procedural and object-oriented paradigms in C/C++ languages; - Ability to model a simple problem using object-oriented concepts (e.g. class complex number); - Ability to understand and model simple problems using template classes and functions (e.g. class stack); - Ability to write a simple program (up to 3 related classes) in C++ programming languages, to compile it and run it successfully. - Ability to use basic collections and algorithms from STL (Standard Template Library) (e.g. class vector). Students’ Evaluation Details ------------------------------- For students enrolled in the 1st year of study: The final grade is computed as the average of grades obtained for components 10.4 and 10.5. The exam is passed if each individual grade obtained at components 10.4 and 10.5 (i.e. both lecture and lab grades) is greater or equal to 5. The component 10.4 (Lecture assessment) is composed of the result of a multiple-choice test in the exam session weighted with the results obtained on each lecture quiz. In the final examination sessions (A2/B2) ONLY the final test can be retaken. Quiz grades are computed as the ratio between student’s points over the total points from all lectures, and it is NOT changeable in exam session(s). The component 10.5 (Lab assessment) is evaluated during the semester through a test in the last laboratory and will yield a final Lab grade. If the Lab grade is less than 5, then the student can retake the lab test in the examination session(s) (A2/B2). For students enrolled in the 2nd or 3rd year of study, who need to retake the exam: the grade obtained for component 10.5 (laboratories) gets carried over previous years and one MUST retake ONLY the final multiple-choice lecture test. In case of re-examination, the lecture quizzes from previous years are NOT considered. Attendance Rules ------------------- For laboratories, minimum 10 laboratory attendances are mandatory. For students who have filed for 50% frequency reduction and got approved by the faculty, attendance at minimum 7 laboratories.

Additional info

(none)