Introduction to Information Science and Technology. Spring 2016

LecturesMonday and Thursday, 1015--1155. 公教101.
DiscussionsMonday, 1745--1925. 行政405.
HomeworkSubmit your homework to the gradebot.
ForumPost all your questions on the forum.
Schedule
Week Date Topic Reading Notes Discussion
102-22 Introduction to programming and python PT 1--3 PDF
02-25 Control flow and data structures PT 4--5
202-29 Exceptions; I/O PT 7--8
03-03 Naming and binding; Classes PLR 4; PT 9.1--9.8
303-07
03-10 Electronics: Introduction to Electronics DDCA 1 Slides 1; Quiz1
403-14 Electronics: Digital Logic DDCA2.1--2.4 Slides 2; Quiz2 Homework 1; Extra credit project.
03-17 Iterators and generators PT 9.9--9.11
503-21 Algorithms
03-24
603-28 Electronics: Combinational Logic Circuits DDCA2.5-2.8 Slides 3; Quiz3
03-31 Electronics(A&B): Lab 1 Digital Circuits Lab 1
704-05 Electronics: Sequential Digital Circuits DDCA3.1-3.4 Slides 4; Homework 2
04-07 Electronics: Digital Building Blocks DDCA5 Slides 5
04-09 Electronics(A): Lab 2 Proximity Sensor Lab Session Name Lists; Lab 2;Arduino Micro Schematic
804-11 Electronics: Beyond Logic Switches switch mode power supply and op-amp Slides 6 Homework 3
04-14 Electronics(A&B): Lab 3 Analog Circuits Lab 3;
04-16 Electronics(A): Lab 4 Rotating Path Detector Lab 4;
904-18 Signal: FFT, Filter Lecture notes Homework 1
04-21 Signal Processing Applications
1004-25 Communication Homework 2
04-28 Communication
1105-02 Labor Day Holiday Homework 3
05-05 Network
1205-09 Control
05-12 Control
1305-16 Intelligent Machines and Robotics: Introduction (pdf) MR 1 Robotics Homework 1
Robotics Lab Preparation 1
Robotics Lab 1
Robotics Lab Intro
arduino-1.6.9-linux32.tar.xz
arduino-1.6.9-linux64.tar.xz
05-19 Intelligent Machines and Robotics: Control and Navigation (pdf) MR 2
05-21 Class A: Robotics Lab 1
1405-23 Intelligent Machines and Robotics: Planning (pdf) PA 1.1 - 1.4 Robotics Lab Homework 2
Results Robotics

Robotics Homework 2

05-26 Intelligent Machines and Robotics: Perception (pdf) MR 3.1
05-28 Class A: Robotics Lab 2
1505-30 Intelligent Machines and Robotics: Vision (pdf) MR 3.2 - 3.3 Robotics Lab 3 Instructions
06-02 Intelligent Machines and Robotics: Artificial Intelligence (pdf)
06-04 Class A: Robotics Lab 3
1606-06 Intelligent Machines and Robotics: Machine Learning (pdf)
06-09 Dragon Boat Festival

Description

This course introduces fundamentals of information science and technology in four parts: programming, electronics, intelligent machines and robotics, and signal and systems.

References

PT
The Python Tutorial
PLR
The Python Language Reference
DDCA
David M. Harris and Sarah L. Harris, Digital Design and Computer Architecture
MR
LaValle, Mobile Robotics
PA
LaValle, Planning Algorithms

Requirements

Reading
Read the chapters before class. We will not read the textbook to you during class. Rather, we will help you better understand certain materials in the textbook.
Class participation
You are required to participate actively in the classroom discussions.
Communications
  • Read your email and the forum at least once in any 12 hour period (including weekends and holidays), as I may post important announcements there.
  • Post all questions (except private, sensitive ones) on the forum so that everyone can reply and read the replies. You may not post anonymously. Do not send email to the instructors or TAs.

Policies

Late homework

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For programming section: you must submit all your homework solutions to the gradebot: we cannot accept homework solutions in any other way. The gradebot enforces deadlines strictly. We never accept late homework submission in any circumstances. Since we hand out homework several weeks before its deadline, you should allocate sufficient time and allow for contigencies.

Academic integrity

We enforce academic integrity strictly. If you participate in any form of cheating, you will fail this course immediately. Examples of cheating on homework include (but are not limited to) the following:

where other people means all the people other than you for individual homework, and all the people outside your group for group homework. They include people outside this course.

Feedback

We always welcome any feedback on what we could do better. You are also welcome to send us feedback anonymously if you like.