DIP107 Algorithmization and Programming of Solutions

Code DIP107
Name Algorithmization and Programming of Solutions
Status Compulsory/Courses of Limited Choice
Level and type Undergraduate Studies, Academic
Field of study Computer Science
Faculty
Academic staff Marina Uhanova, Natālija Prokofjeva, Oksana Zavjalova, Jurijs Ivanovs, Olga Jakovļeva, Ēvalds Masaļskis, Eduards Rēns, Marija Dobkeviča
Credit points 6.0 (9.0 ECTS)
Parts 2
Annotation Students receive academic knowledge in computer applications, as well as practical skills in development of applications using high-level programming languages. The acquired knowledge and skills ensure further successful mastering of computer science courses..
Contents
Content Full- and part-time intramural studies Part time extramural studies
Contact hours Independent work Contact hours Independent work
Part 1. Algorithms in daily life and their implementation in computers, development of algorithms, computer program as a representation of algorithm. 6 6 0 0
Main data types, data processing operations in high-level programming languages. Flow control statements of high-level programming languages. 6 6 0 0
Organization of loops, one-dimensional and multi-dimensional arrays. 14 14 0 0
Subprograms their necessity and structure. Subprograms and class libraries. 12 12 0 0
Algorithms for searching and sorting. The principles of analysis of algorithms. O notation. 6 6 0 0
Development of the first programs, familiarization with the integrated development environment and debugging tools provided by the development environment. Laboratory work development. 16 16 0 0
Part 2. Programming paradigms. Introduction to basics of object-oriented programming. 8 8 0 0
Strings. 4 4 0 0
Data sets on external storages (files), logical and physical files, serial and direct access. Streams. 6 6 0 0
Creating and using threads. 4 4 0 0
Graphical user interface development. Event processing. Graphical functions. 6 6 0 0
Laboratory work development, participation in group project development. 32 32 0 0
Total: 120 120 0 0
Goals and objectives
of the course in terms
of competences and skills 		The goal of the course is to prepare students for further computer science courses, to teach to algorithmize the problem and to check solution by implementing the software. The main objectives are to provide academic knowledge on algorithms, their properties and their development, formal syntax, semantics, data types, structures, data processing operations, as well as to provide practical knowledge about high-level programming languages. The result of the course is archived by developing a set of documented programs of varying complexity.
Learning outcomes
and assessment 		Part 1. Skills in development of algorithms (including) on the level of flowcharts, skills in software development, skills in debugging. - Successfully completed and defended homework and laboratory works. Successfully completed and defended group projects.
Part 2. Skills in complex algorithm development and their implementation using subprograms. - Successfully completed and defended homework and laboratory works. Successfully completed and defended group projects.
Knowledge in the basics of analysis and development of algorithms. Is able to analyze and to explain the source code of program, to explain used statements, to locate syntactic and semantic errors. - Successfully passed tests and examination.
Evaluation criteria of study results
Lab words - 20%
Homeworks - 20%
Tests - 10%
Group projects - 10%
Examination - 40%
 
Course prerequisites Knowledge of informatics course within the scope of secondary school program
Course planning
Part CP ECTS Hours Tests
Lectures Practical Lab. Test Exam Work
1 3.0 4.5 2.0 0.0 1.0 *
2 3.0 4.5 1.0 0.0 2.0 *
[Extended course information PDF]