Systems programming in a Unix-style environment, including source control, scripting languages and C programming.  The course covers topics including creating and using software tools, pipes and filters, file processing, shell programming, processes, threads, system calls, signals, and network programming.

Students shall be able to:

1. Understand bit-level representations and manipulation
2. Use programming tools, both standard and self-developed, that will aid program development, including compilers, code analyzers, debuggers, consistency checkers, and profilers.
3. Understand and tune for program performance
4.  Understand the programmer’s interaction with the underlying system through the different APIs and abstractions, including system support for process and thread control, virtual memory, and networking
5. Analyze the consequences of imperfect system usage, such as poor memory and CPU performance, crashes, and security vulnerabilities.
6. Develop efficient programs exercising different components of a modern computing system.

August 28, 2018: Fall classes begin

October 4, 2018:  Last day for early withdrawal (WI)

October 25, 2018: Deadline for Incomplete grades

November 8, 2018: Last day for withdrawal from courses (WP/WF)

December 7, 2018: Fall classes end

Professor Haidar M. Harmanani

haidar@lau.edu.lb • http://vlsi.byblos.lau.edu.lb • http://harmanani.github.io

Office Hours:

Block A • Room 810

Tuesday, Thursday • 3:00pm – 4:30pm • 8:00pm – 9:30pm or by appointment

Lecture notes are made available here in PDF formats. Additional readings will be posted under the resources section in this page.

Lecture 01: Course Introduction

Lecture 02: Bits, Bytes, and Integers

Lecture 03: Bits, Bytes, and Integers (Continued)

Lecture 04: Floating Points

Lecture 05: Development Tools I (gcc, gdb, make, Unix Shell, editors, ..)

Lecture 06: Development Tools II (git)

Lecture 07: Machine Level Programming

Lecture 08: The Memory Hierarchy

Lecture 09: Cache Memories

Lecture 10: Code Optimization

Lecture 11: Linking

Lecture 12: Exceptional Control Flow: Exceptions & Processes

Lecture 13: Exceptional Control Flow: Signals & Nonlocal Jumps

Lecture 14: System Level I/O

Lecture 15: Virtual Memory: Concepts

Lecture 16: Virtual Memory: Systems

Lecture 17: Dynamic Memory Allocation: Basic

Lecture 18: Dynamic Memory Allocation: Advanced

Lecture 19: More Malloc

Lecture 20: Network Programming (Part I)

Lecture 21: Network Programming (Part II)

Lecture 22: Concurrency

Lecture 23: Synchronization: Basic

Lecture 24: Synchronization: Advanced

Lecture 25: Thread-Level Parallelism I

Lecture 26: Thread-Level Parallelism II

Lab 1: TBA

Lab 2: TBA

Lab 3: TBA

Lab 4: TBA

Lab 5: TBA

Project: TBA

All students are expected to take exams during the scheduled time slots. With the permission of the instructor, you may be allowed to take an exam at an alternate time. However, you must request this rescheduling at least 2 weeks prior to the exam date. Exceptions will naturally be made for sudden problems such as serious illnesses/injury. Since the exam schedule is being published at the beginning of the semester, scheduling conflicts (e.g., job interviews, GREs, etc.) are not legitimate reasons to miss an exam.

Midterm Exam

The midterm exam is scheduled for February 16, 2016: Midterm Examination. The midterm exam will be a closed book exam. In principle, all topics discussed in class (whether on the lecture notes or not) and in the assigned readings are a legitimate source for exam questions.

Previous Midterm Exam (Spring 2009)

Previous Midterm Exam Key (Spring 2009)

Final Exam

The final will be comprehensive, with roughly 1/3 of the material devoted to material covered prior to the midterm.  The exam will be on May 15, 2015 from 8:00 am - 11:00 am.

The exam will cover the following sections in the textbook:

• Chapter 1: 1.1-1.8
• Chapter 2: 2.1-2.10, 2.12-2.13
• Chapter 3: 3.1-3.5
• Chapter 4: 4.1-4.6
• Chapter 5: 5.1-5.3

Midterm Grades

Assignments Grades

Project Grades

• Install Raspian on your SD card
• Setting up Bluetooth on the Raspberry Pi 3
• NOOBS
• Mathematica and the Pi
• Initial State: Data Analytics for the Internet of Things
• RapidMiner
• Tableau Visualization Tool
• C5.0
• Weka
• C3IoT
• Local Stores
• OpenVN: Build an SSL-VPN server for your Pi
• Node-Red: Flow-based programming for the Internet of Things
• Get Started with Contiki
• OpenCV

• Raspberry Pi Foundation
• Building the Internet of Things with Raspberry Pi
• Ideas and Recipes For Home Automation With The Internet of Things
• How to Send Tweets From Your Raspberry Pi
• Home automation using R Pi + Alexa + IoT
• Raspberry Sprinkle
• Temperature & Humidity Network Monitor

Essential Readings

• Efficient Reading of Papers in Science and Technology
• How to Read a Scientific Paper

Machine Learning

• Deep Learning Book
• Machine Learning Tutorial
• Introduction to TensorFlow

Internet Of Things

• Internet of things: Vision, applications and research challenges
• Towards Physical Mashups in the Web of Things
• CoAP: An Application Protocol for Billions of Tiny Internet Nodes
• The Internet of Things: A survey
• Internet of things security
• Manufacturing Analytics and Industrial Internet of Things

• Semantic Reasoning for Context-Aware Internet of Things Applications
• A Survey on Internet of Things From Industrial Market Perspective
• Internet of Things and Big Data Analytics for Smart and Connected Communities
• The Internet of Things for Health Care: A Comprehensive Survey
• On Networking of Internet of Things: Explorations and Challenges
• Green Internet of Things for Smart World