TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	2
SEMESTER	Third Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	4
NAME OF LECTURER(S)	Associate Professor Serap Altay Arpali
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Explain the basic concepts of algorithm design and programming. 2) Creates and codes appropriate solution algorithm for functions, scoping and abstraction, global variables, modules, files, structural types, mutable and high-level functions and codes with Python programming language. 3) Learns basic data structures. 4) Learns to implement data structures. 5) Gains the ability to analyze algorithms. 6) Monitors a written program and finds errors.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Introduction to programming. Introduction to Python. Numerical programs. Functions, scoping, and abstraction. Global variables, modules, files. Structured types, mutability, and higher-order functions. Classes and object-oriented programming. Introduction to algorithmic complexity. Algorithms and data structures, searching, and sorting. Plotting. and data visualization.
COURSE CONTENTS	Introduction to programming. Introduction to Python. Numerical programs. Functions, scoping, and abstraction. Global variables, modules, files. Structured types, mutability, and higher-order functions. Classes and object-oriented programming. Introduction to algorithmic complexity. Algorithms and data structures, searching, and sorting. Plotting. and data visualization.
RECOMENDED OR REQUIRED READING	Introduction to Computation and Programming Using Python, with Application to Understanding Data, John Guttag, Second Edition, MIT Press
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Presentation,Practice,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 2 10 Quiz 4 20 Attendance 1 5 Total(%) 65 Contribution of In-term Studies to Overall Grade(%) 65 Contribution of Final Examination to Overall Grade(%) 35 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz 2 8 16 Individual or group work Preparation for Final exam 1 13 13 Course hours 14 3 42 Preparation for Midterm exam 1 10 10 Laboratory (including preparation) Final exam 1 2 2 Homework 2 20 40 Total Workload 125 Total Workload / 30 4,16 ECTS Credits of the Course 4
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No