For Analytics and Data Science for Economics and Management Course students'
DESCRIPTION
This course is a basic introduction to important concepts in computer science and programming, designed to prepare students for the upcoming course, ‘Coding for Data Science and Analytics’.
During the sessions, students will learn about the basics of computing, programming languages, and the main ideas behind algorithms and data manipulation.
In the course, we will also introduce the use of the Python IDE Spyder, which is part of the Anaconda environment.
By covering preliminary notions and exercises on key topics such as variables, data types, control structures, functions, and data structures, this pre-course aims to give students a strong foundation in programming, which will be essential for their success in the next course.
Given the highly practical nature of this course and the fact that no student assessments are scheduled, we do not plan to offer distance learning for this course. However, lectures materials will be made available to students.
For any information about the course please contact Angela Locoro at [email protected].
COURSE CONTENT
Lesson 1: Introduction to computer science, computing, and programming languages
Lesson 2: Algorithms and their representation
Lesson 3: Algorithms and flowcharts
Lesson 4: Languages for data description and manipulation, introduction to Anaconda
Lesson 5: Variables and Data Types
Lesson 6: Control Structures
Lesson 7: Functions
Lesson 8: Data Structures