|
Academic staff member responsible for the design of the course syllabus
(name, surname, academic title/scientific degree, email address and signature)
|
NA
|
|
Lecturer (name, surname, academic title/scientific degree, email address
and signature) and Office Hours:
|
Erjon Gjoçi
, 10:00-11:00
|
|
Second Lecturer(s) (name, surname, academic title/scientific degree, email
address and signature) and Office Hours:
|
NA
|
| Teaching Assistant(s) and Office Hours: |
NA
|
| Language: |
English
|
| Compulsory/Elective: |
Compulsory
|
| Classroom and Meeting Time: |
11:45
|
| Course Description: |
Statistics I: The aim of the courses is that inference making in Business. The objective of the course is to help students to understand theoretical characteristics of statistical methods and develop practical knowledge and skills to analyze the business data.
|
| Course Objectives: |
This course covers the descriptive and inferential statistics topics. Students will be able to learn about the statistical analysis using averages, standard deviations, percentiles and related to the probability distributions.
|
| Week |
Topics |
| 1 |
Why statistics is important? |
| 2 |
Types of data |
| 3 |
Interpretation of the data |
| 4 |
means, median, mode |
| 5 |
Frequency distribution and using graphical analysis |
| 6 |
variance and standard deviation |
| 7 |
Review |
| 8 |
Why probability distribution is important |
| 9 |
Types of probability distribution |
| 10 |
Discrete probability distribution |
| 11 |
Continuous probability distribtuion |
| 12 |
Normal probability distribution |
| 13 |
Using statistical tables |
| 14 |
Review |
| 1 |
Students will be able to learn about the importance of statistics in the practical life |
| 2 |
they should be able to know about how calculate averages, variance and standard deviation |
| 3 |
Students will learn about the measure of dispersion using median mode etc |
| 4 |
Students will be able to analyse and interpret the data using micro level data |
| 5 |
They will learn about the probability distribution |
| 6 |
What are the types of probability distribution and their usage |
| 7 |
Discrete probability distribution |
| 8 |
Binomial probability distribution |
| 9 |
The students will be able to use the concept of normal distribution and its importance in the statistical analysis |
| 10 |
Review of the statistics course and projects for the next semester |
| No |
Program Competencies |
Cont. |
| Bachelor in Economics (3 years) Program |
| 1 |
Students define the fundamental problems of economics |
2 |
| 2 |
Students describe key economic theories |
2 |
| 3 |
Students critically discuss current developments in economics |
2 |
| 4 |
Students appropriately use software for data analysis |
5 |
| 5 |
Students critically contextualize the selection of an economic problem for research within scholarly literature and theory on the topic |
4 |
| 6 |
Students apply appropriate analytical methods to address economic problems |
5 |
| 7 |
Students use effective communication skills in a variety of academic and professional contexts |
4 |
| 8 |
Students effectively contribute to group work |
2 |
| 9 |
Students conduct independent research under academic supervision |
5 |
| 10 |
Students uphold ethical values in data collection, interpretation, and dissemination |
5 |
| 11 |
Students critically engage with interdisciplinary innovations in social sciences |
2 |
| 12 |
Student explain how their research has a broader social benefit |
5 |
