MICROQUALIFICATION EDUCATIONAL PROGRAM «STATICTICS ESSENTIALS» (integrated)

EDUCATIONAL PROGRAM PASSPORT

Field of education: 6B06 Information and communication technologies
Field of study: 6B061 Information and communication technologies
Group of educational programs: B057 Information technology
License number for the direction of training: KZ67LAA00019559
Volume of credits: 16
Registration number: MCCE-2022/0010
Registration date: 05/04/2023
Languages of instruction: Russian, English
Partner organization: “Corporate University” – a branch of Kazakhtelecom JSC

BRIEF DESCRIPTION OF THE MICROQUALIFICATION EDUCATIONAL PROGRAM

Main direction of the EP:
The program is aimed at training specialists in the modeling of production processes based on mathematical statistics and data analysis, with a strong fundamental knowledge of mathematics and in applied methods based on computational technologies.

The purpose of the microqualification EP:
Formation of students’ skills in the correct application of methods of mathematical statistics to various applied problems, as well as providing students with a full range of knowledge in statistics necessary for the successful use of a powerful tool of statistical analysis.

Objectives of the EP microqualification:
– to form in students a holistic understanding of the principles of mathematical statistics and analysis;
– to instill the skills of conscious and rational use of modern software tools in professional activities to solve specific problems.

FORMED LEARNING OUTCOMES

LO 1. Understand methods of data analysis, systematization, representation, and generalization through the application of a complex of methods to solve specific tasks.
LO 2. Utilize statistical methods to solve specific tasks.
LO 3. Demonstrate proficiency in preparing data accurately and appropriately for statistical analysis.
LO 4. Develop mathematical models and numerical algorithms and select computational methods for conducting computational experiments and forecasting deterministic and probabilistic processes.
LO 5. Collect, process, and analyze data using methods of mathematical statistics, data science, and machine learning to make forecasts and prepare managerial and operational recommendations.

INFORMATION ABOUT DISCIPLINES

Discipline Name Brief Description of the Discipline Credits Academic Hours Formed Competencies (codes)
1. Probability Theory and Mathematical Statistics This discipline is aimed at teaching the study of the regularities of random phenomena and their properties, and using them for data analysis. As a result of studying this discipline, students will know the basic concepts of probability theory and mathematical statistics and their properties, as well as be able to use probabilistic models to solve problems, work with random variables, calculate sample characteristics, and assess the reliability of statistical data. 5 120 PC1, PC2, PC5
2. Mathematical Analysis This discipline is aimed at studying methods of data analysis for quantitative assessment of the socio-economic situation at micro, macro, and global levels; conducting statistical analysis. 5 150 PC3, PC4, PC5
3. Introduction to Big Data Analytics The course is designed to study the basics of working with big data, huge arrays of structured information. Students will learn to work with MapReduce, Hadoop, Spark technologies for implementing analytics and machine learning on big data. 5 150 PC1, PC3
4. Final Certification The purpose of the final certification of the student is to assess the results of learning and professional competencies achieved upon completion of the micro-qualification educational program. 1 30