|
Academic staff member responsible for the design of the course syllabus
(name, surname, academic title/scientific degree, email address and signature)
|
Dr. Aida Dhima abitri@epoka.edu.al
|
|
Main Course Lecturer (name, surname, academic title/scientific degree, email address
and signature) and Office Hours:
|
M.Sc. Mohammad Ziyad Kagdi mkagdi@epoka.edu.al
, mkagdi@epoka.edu.al, Monday - Friday 13:00 - 16:00
|
|
Second Course Lecturer(s) (name, surname, academic title/scientific degree, email
address and signature) and Office Hours:
|
NA
|
| Language: |
English
|
| Compulsory/Elective: |
Compulsory
|
| Study program: (the study for which this course is offered) |
Bachelor in Economics (3 years)
|
| Classroom and Meeting Time: |
Monday, 12:40-15:30, D-005 (Lab 5)
|
| Teaching Assistant(s) and Office Hours: |
NA
|
| Code of Ethics: |
Code of Ethics of EPOKA University
Regulation of EPOKA University "On Student Discipline"
|
| Attendance Requirement: |
Mandatory
|
| Course Description: |
BUS 106 – Introduction to Programming aims at preparing students with the basic concepts of programming and teaching them basic programing skills using Python. Python is a full spectrum language, very popular languages and in the same time very user friendly. This course will introduce students to numbers, math, functions and loops, conditional logic and control flows, object oriented programming, file input and output, working with databases, interacting with the web, scientific computing and graphing and graphical user interfaces. These will equip students with necessary skills so that they can adopt more advanced features as they need them when their application demands grow.
|
| Course Objectives: |
The objective of this course is to introduce students with the fundamental programming skills as a starting point for analyzing large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling in the future.
- To understand basics of algorithmic thinking
- To understand basic programming concepts
- To be able to design and implement basic algorithms
- To learn Python syntax and structure
- To be able to transform problem solving structures in Python.
- To be able to analyze real life problems and develop programming solutions
|
|
BASIC CONCEPTS OF THE COURSE
|
| 1 |
To understand the fundamental principles of programming
|
| 2 |
To learn how to present problems and solve them by using algorithms
|
| 3 |
To define the structure and components of a Python program
|
| 4 |
To learn how to use lists, tuples, and dictionaries in Python programs
|
| 5 |
To learn how to write loops and decision statements in Python
|
| 6 |
To learn how to write functions and pass arguments in Python
|
| 7 |
To define and write programs in solving business related problem
|
| Week |
Topics |
| 1 |
Basic Concepts of programming (Programs, algorithms, software) Understanding programming logic: Seven steps of Problem-Solving Process and Information processing Data and File Formats, Number Systems, Boolean Algebra |
| 2 |
Introduction to flowcharts and task analysis. Flowchart symbols. Decision Structures and Repetitive Structures. Solving Business related problems. Exercises. |
| 3 |
Flowchart’s part 2, working with arrays and matrices. Solving Business related problems. Exercises |
| 4 |
Introduction to Python Environment, Syntax, Basic Elements (Input Processing Output), Installing Python, Pycharm. Working with Pycharm and explaining main elements in Pycharm. Declare variables, parameters, collect data from the user. |
| 5 |
Decision Structures and Boolean Logic (If, if-else). Solving Business related problems. Exercises |
| 6 |
Repetition Structures (While and For Loops).Solving Business related problems. Exercises |
| 7 |
Functions in Python. Defining and calling functions. Importing Elements. |
| 8 |
Working with files, upload, read files, delete from files, manipulate files. |
| 9 |
Mid-Term |
| 10 |
Lists and Tuples. The students will be able to get information regarding the sequences, list slicing, how to find items in lists with 1 n operator, the various list methods, and the most useful built-in functions. The students will also know which are the most important type of lists, tuples, the conversion between lists and tuples, and how to plot list data with the matplolib package. |
| 11 |
Data Manipulation: Pandas library. Pandas is a Python toolkit for data manipulation and analysis that is open-source. It has a lot of functions and ways to help the students speed up your data analysis. Pandas is based on the NumPy package, therefore it pulls a lot of its basic ideas from it. Series is a one-dimensional data structure, whereas DataFrame is a two-dimensional data structure. |
| 12 |
Data Manipulation2: Pandas library. Pandas is a Python toolkit for data manipulation and analysis that is open-source. It has a lot of functions and ways to help the students speed up your data analysis. Pandas is based on the NumPy package, therefore it pulls a lot of its basic ideas from it. Series is a one-dimensional data structure, whereas DataFrame is a two-dimensional data structure. |
| 13 |
Data Manipulation: NumPy library.Python libraries such as Numpy and Pandas enable analysts to handle data with ease by providing a collection of tools that can be used to execute a variety of tasks on data, such as data organization, arithmetic operations, and visualization, among other things. Both Numpy and Pandas provide tools for working with multidimensional data structures such as arrays, as well as generic data. |
| 14 |
Data Visualization: Matplotlib library.matplotlib is a Python package used for data plotting and visualisation. It is a useful complement to Pandas, and like Pandas, is a very feature-rich library which can produce a large variety of plots, charts, maps, and other visualisations. |
| 1 |
To understand the fundamental principles of programming |
| 2 |
To learn how to present problems and solve them by using algorithms |
| 3 |
To define the structure and components of a Python program |
| 4 |
To learn how to use lists, tuples, and dictionaries in Python programs |
| 5 |
To learn how to write loops and decision statements in Python |
| 6 |
To learn how to write functions and pass arguments in Python |
| 7 |
To define and write programs in solving business related problem |
