Courses

Engineering > Computer Science


Course
Statistics and Probability
Lecturer
Alfrian Carmen Talakua
University
Wira Wacana Christian University of Sumba
Period
Spring 2026
Language
Indonesian

Keyword

Syllabus

This course provides a comprehensive understanding of statistics and probability, focusing on their application in data analysis and decision-making processes. It covers fundamental concepts such as data collection, probability distributions, parameter estimation, and hypothesis testing. Students will learn to apply statistical methods in analyzing large datasets, which is essential in the era of big data and artificial intelligence. The course also emphasizes practical applications in information systems, enabling students to develop data-driven solutions for various business and technological challenges. By the end of the course, students will be able to conduct statistical analyses, interpret results effectively, and make informed decisions based on data.

No. File Download
1 3.Syllabus.pdf Download

Courses List

No. Course Format File Date
1 Week 1. Introduction to Statistics and Probability: Definition, Scope, and Applications in Information Systems 2026-06-17
2 Week 2. Data Collection, Presentation, and Processing in the Context of Information Systems 2026-06-17
3 Week 3. Measures of Central Tendency and Dispersion (Mean, Median, Mode, Variance, Standard Deviation) 2026-06-17
4 Week 4. Basic Probability Concepts and Probability Rules in Information Systems 2026-06-17
5 Week 5. Random Variables and Discrete Probability Distributions in Data Analytics 2026-06-17
6 Week 6. Continuous Probability Distributions: Normal and Exponential Distributions in Data Processing 2026-06-17
7 Week 7. Sampling and Sampling Distributions in Data Science 2026-06-17
8 Week 8. Midtem Exam 2026-06-17
9 Week 9. Parameter Estimation: Estimators, Confidence Intervals in Decision Making 2026-06-17
10 Week 10. Hypothesis Testing: Basic Concepts, Types of Errors, and Applications in Digital Business 2026-06-17
11 Week 11. Hypothesis Testing for Means and Proportions in E-commerce and Business Data 2026-06-17
12 Week 12. Simple Regression and Correlation for Prediction and Data Analytics 2026-06-17
13 Week 13. Analysis of Variance (ANOVA) in System Development and UX Research 2026-06-17
14 Week 14. Chi-Square Test and Non-Parametric Tests in System Security and Performance 2026-06-17
15 Week 15. Case Studies and Applications in Data-Driven Information System Development 2026-06-17
16 Week 16. Final Project Presentation 2026-06-17

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