ID: 1491
Course type: scientific and vocational
Course coordinator: Rosić Vitas B. Maja
Lecturers: Rosić Vitas B. Maja
Contact: Rosić Vitas B. Maja
Level of studies: M.Sc. (graduate) Academic Studies – Mechanical Engineering
ECTS: 6
Final exam type: written
Department: Department of Information Technologies in Mechanical Engineering
• Basic facts of algorithm theory. • Abstract data type and basic implementation. • Data structures in mechanical engineering. • Using standard algorithms in solving simple problems in mechanical engineering.
After successful completion of the program provided for in this case the student can: • To find data structure to solve the problem. • Use data structures and standard algorithms in solving simple problems in mechanical engineering. • To find suboptimal algorithm to solve smple problems in mechanical engineering. • To use standard algorithms to solve complex problems in mechanical engineering.
Basic facts about algorithms. Basic facts about abstract data type. Array. Lists. Buffers. Stack. Queue. Trees. Binary tree. Binary hip. Set. Hash. Dictionary. Varies sorting and searching algorithms with apply in mechanical engineering. Hanoi towers. Quick sorting and searching. Big numbers. Polygon triangulation. Flag problem. Optimal and suboptimal salesman problem. N-Queens problem. Stable marriage problem. practical teaching Workshops with basic examples.
It consists of auditory, laboratory exercises that follow the course content.
Knowledge of C/C++ languages. Basic knowledge of program design methodology. Fundamentals of software engineering.
The necessary software is under the GNU license - free of charge. In LINUX, C/C++ is immediately available. If you use another operating system, C/C++ compiler can be downloaded from the appropriate Web site
Total assigned hours: 75
New material: 25
Elaboration and examples (recapitulation): 5
Auditory exercises: 0
Laboratory exercises: 20
Calculation tasks: 0
Seminar paper: 0
Project: 0
Consultations: 0
Discussion/workshop: 10
Research study work: 0
Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 3
Review and grading of the project: 3
Test: 0
Test: 4
Final exam: 5
Activity during lectures: 5
Test/test: 35
Laboratory practice: 0
Calculation tasks: 0
Seminar paper: 15
Project: 15
Final exam: 30
Requirement for taking the exam (required number of points): 0
T. H. Cormen, C. E. Leiserson, R. L. Rivest, C. Stein, Introduction to Algorithms, The MIT Press, Cambridge, 2009.; T. H. Cormen, C. E. Leiserson, R. L. Rivest, C. Stein, Introduction to Algorithms, The MIT Press, Cambridge, 2009.