Course Details
Course Department: |
Department of Mathematics and Statistics |
Course Code: |
MAS 051 |
Course Title: |
Introductory Mathematics and Stratistical Methods |
Number of ECTS: |
5 |
Level of Course: |
1st Cycle (Bachelor's Degree)  |
Year of Study (if applicable): |
1  |
Semester/Trimester when the Course Unit is Delivered: |
Fall Semester 
Spring Semester
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Name of Lecturer(s): |
Konstantinos Tsaltas Andreas Makrides   |
Lectures/Week: |
2 (1.5 hours per lecture)  |
Laboratories/week: |
1 (1 hours per lecture)  |
Tutorials/Week: |
--  |
Course Purpose and Objectives: |
To give the necessary statistical background to students from education.
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Learning Outcomes: |
With the completion of the course, the students should be able to understand the basic ideas and principles of probability and statistics and be able to apply a variety of statistical methods and techniques to education and social sciences.
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Prerequisites: |
High school mathematics  |
Co-requisites: |
Not Applicable  |
Course Content: |
Real numbers and their properties, factorization, fractions, equations of first and second orders, application of equations, linear inequalities, absolute values, sequences and sums, probability, urn models, survey sampling methods, data graphical representations, scale measurements, center, shape, and spread of distributions, measures of dispersion, hypothesis testing, confidence intervals, correlation.
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Teaching Methodology: |
Lectures and recitation classes
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Bibliography: |
- T.C. Christofides: Statistical Methods (lecture notes)
- D. Freedman, R. Pisani, R. Purves and A. Adhikari: Statistics, (latest edition) Norton
- Haussler, E.F., Paul, R.S. and Wood, R.J. (2021). Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences, 14th Edition.
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Assessment: |
1 midterm exam (35%), 3 quizzes, 15 minutes each (Total 15%), final exam (50%)  |
Language of Instruction: |
Greek
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Delivery Mode: |
Face-To-Face  |
Work Placement(s): |
Not Applicable  |
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