Course Information

Course Description

This course serves as an introduction to the fundamentals of computer science and programming. It aims to help students with little or no programming experience to gain necessary skills to work with abstract notions for solving computational problems. The course is structured around basic topics such as control flow, functions, lists, input and output, simple data structures (sets, dictionaries), testing and debugging, and recursion.
The class will use the Python as a medium to provide a basic understanding of basic concepts in computer science, and the students will gain hand-on experience via a set of programming assignments supplied in the complementary BBM 103 Introduction to Programming Practicum.

Time and Location

BBM 101

Section 1: Tuesday at 09:00-11:50 in Clasroom D1
Section 2: Tuesday at 09:00-11:50 in Clasroom D2
Section 3: Tuesday at 09:00-11:50 in Clasroom D3

BBM 103

Lab Section 1: Friday at 11:00-12:50 in Comp. Lab
Lab Section 2: Friday at 13:00-14:50 in Comp. Lab
Lab Section 3: Friday at 15:00-16:50 in Comp. Lab

Instructors

Teaching Assistants

Communication

The course webpage will be updated regularly throughout the semester with lecture notes, programming and reading assignments and important deadlines. All other course related communications will be carried out through Piazza. Please enroll the corresponding class pages by following the links https://piazza.com/hacettepe.edu.tr/fall2019/bbm101 and https://piazza.com/configure-classes/fall2019/bbm103.

Pre-requisites

Students are not expected to have any prior programming experience.

Course Requirements and Grading

Grading for BBM 101 will be based on

• two midterm exams (25%+30%),
• a final exam (40%), and
• class participation (5%).

In BBM 103, the grading will be based on

• a set of quizzes (25%) (the lowest 1 quiz grades will be dropped),
• five programming assignments (4+10+20+20+20 = 74%) (done individually), and
• first week attendance (1%).

Policies

All work on assignments must be done individually unless stated otherwise. You are encouraged to discuss with your classmates about the given assignments, but these discussions should be carried out in an abstract way. That is, discussions related to a particular solution to a specific problem (either in actual code or in the pseudocode) will not be tolerated.

In short, turning in someone else’s work, in whole or in part, as your own will be considered as a violation of academic integrity. Please note that the former condition also holds for the material found on the web as everything on the web has been written by someone else.

Attendance to lectures is mandatory. A student who do not attend the lectures more than 4 weeks will fail BBM101 directly with an F1 grade. A student who do not attend more than 1 recitation sessions or do not submit more than 1 assignments will fail BBM103 directly with an F1 grade. You are responsible for all material presented in lectures. Some of the course material might not be covered in the textbook.

Reference Books

• CS for All, Christine Alvarado, Zachary Dodds, Geoff Kuenning, Ran Libeskind-Hadas, 2013

• The Python Tutorial (available from the Python website)

• Think Python, 2nd edition, Allen B. Downey (freely available online) (interactive version)

• Introduction to Computation and Programming Using Python, Second Edition, John V. Guttag, MIT Press, August 2016

Schedule

Week	Lecture	Reading and Other Material	Assignments
1	What is computation and Computational Thinking [slides]	Guttag 1, Downey 1 Video: The birth of the computer, George Dyson Reading: Computer Science, Allen Newell, Alan J. Perlis, Herbert A. Simon
2	Binary representations and the Von Neumann architecture [slides] Week 2 Lab Handouts: [slide1, slide2]	Alvarado et al. 4 (excluding 4.5-3-4.5.4) HMMM Simulator	PA 1 out
3	Introduction to Algorithms and Development Strategies [slides] Week 3 Lab Handouts: [slide]		PA 1 due
4	Introduction to Python, Statements, Expressions [slides]	Guttag 2.1, Downey 5.1-5.3
5	Control flow, Functions [slides] Week 4 Lab Handouts: [slide1, slide2]	Guttag 2.2-2.4, 3.1-3.2, 4.1-4.2, 4.4, Downey 3, 5.4-5.7
6	Arrays, Tuples, Lists [slides]	Guttag 5.1-5.3, 5.5, Downey 10-12	PA2 out
7	Midterm 1
8	Higher Order Functions [slides] Week 5 Lab Handouts: [slide]	Alvarado 3.5-3.8	PA2 due
9	File IO, Sets, Dictionaries [slides]	Guttag 4.6, 5.6, Downey 11, 14.1-14.4, 14.11	PA3 out
10	Debugging, Exceptions, Testing [slides] Week 6 Lab Handouts: [slide]	Guttag 6,7, Downey Debugging sections of each chapter, Appendix A
11	Recursion [slides]	Guttag 4.3, Downey 5.8-5.10, 6.5	PA3 due, PA4 out
12	Midterm 2 Week 7 Lab Handouts: [slide]
13	Understanding Data [slide]	Guttag 11, Downey 14.1-14.4, 14.11 Immigration data on Canada as Excel file bbm101.csv file Breast Cancer Detection codes as Jupyter Notebook Breast Cancer Detection codes as pdf	PA4 due, PA5 out
14	Algorithmic Speed [slides] Week 8 Lab Handouts: [slide]	Guttag 9, Downey Appendix B	PA5 due

Programming Assignments

• Assignment 1 (Due: Oct 25, 2019 (23:59:59))
• Assignment 2 (Due: Nov 29, 2019 (23:59:59))
• Assignment 3 (Due: Dec 12, 2019 (23:59:59))
• Assignment 4 (Due: Jan 03, 2020 (23:59:59))
• Assignment 5 (Due: Jan 12, 2020 (23:59:59))

Resources

General purpose text editors

• Vim (Linux, OS X, Windows)
• Emacs (Linux, OS X, Windows)
• Sublime Text (Linux, OS X, Windows)
• Week 10 Exercise Input File

Setting up Python

PyCharm Edu Integrated Development Environment (IDE) will be used in laboratory classes for learning how to program with Python.

• PyCharm Edu and Python Installation Guide
• Getting Started with PyCharm Edu - a quickstart manual
• Guide to compiling your code on department servers

Previous editions

• 2018
• 2017
• 2016
• 2015
• 2014

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