Northeastern University College of Professional Studies Course Syllabus DRAFT

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1 Northeastern University College of Professional Studies Course Syllabus DGM6108: Programming Foundations for Digital Media Fall 2017, 13 week term Sept 18, 2017 Dec 16, 2017 Blended Course Snell CRN: Wed 3:20 5:20 pm and online Instructor: Velda Shaby velda18@gmail.com TA: Chun-Shuo Yin yin.chun@husky.neu.edu Course Description Students will be taught the fundamentals of programming in a multimedia environment with an emphasis on planning and production for interactive digital media. Using the language Processing as a base, students will have an opportunity to discover how code relates to design and will master programming fundamentals that link logic to action. This course will be designed for students who have never programmed before using an object-oriented programming language. As such, you will be exposed to programming fundamentals from the ground up and have the opportunity to master these concepts so that they may be leveraged and extended in future coursework using a variety of languages. Course Outcomes Students will have the opportunity to: Learn basic principles and concepts required to develop interactive multimedia applications using the Processing toolkit. Develop competency in basic programming fundamentals and problem solving. Master basic object-oriented development principles that can be transferable beyond the Processing platform. Understand basic principles of computer graphics, animation, and interactivity. Course Methodology Each week, from Monday evening to Wednesday evening, you will be expected to: 1. Review the week's learning objectives. 2. Do all assigned readings. 3. Listen to the videos. 4. Take a look at all material in the lectures folder 5. Look at the homework and post questions relating to the homework in the blog or ask your TA. 1

2 You will be expected to: 1. Turn in the previous week s homework assignment on your blog by 6AM of the previous day Monday. for this class. This doesn t mean stay up all night, but turn it in the day before. I want to grade them and give you feedback before class! 2. Actively participate in discussions and in-class exercises 3. Work with your instructor and teaching assistant to make sure that you understand the in-class exercises and the homework due the following week. If you have questions, your first line of help should be posting your questions to your blog. I will take a look and if any of your classmates see your question before me, please offer your help. Your teaching assistant will also offer weekly office hours for individual or small group help. Your instructor is also available for office hours if you are unable to resolve your problem with the help of the blog or your teaching assistant. Please be sure to start the homework and reading early so that you have plenty of time to make an attempt, ask questions, and make another attempt. Communication/Submission of Work In the Assignments folder, click on the View/Complete Assignment link to view and each assignment. Attach your completed assignments to your blog to turn them in to me. Please turn in your assignments on time! Programming is cumulative learning and if you didn t understand this week s homework, you will have a difficult time understanding next week s! I will take off points for any late homework. In-class assignments aren t graded but do count towards your weekly class participation grade. Required Text(s): Daniel Shiffman, Learning Processing: A Beginner s Guide to Programming Images, Animation and Interaction, Edition: 2, ISBN Casey Raes and Ben Fry, Processing, O Reilly, ISBN Version 2 just out, ISBN-13: , ISBN-10: Additional Resources: Websites: Useful 2

3 - Downloading processing for your computer - Processing reference manual online - Processing tutorials online Software Processing is an open source programming language and development environment specifically developed for enabling creative people to easily learn to program within a visual context. It includes a rich set of features to programmatically create images, animations, and interactions. The Processing development environment is cross-platform (Windows/Mac/Linux) and can be downloaded free of charge at this location: LAPTOP & CELL PHONE ETIQUETTE: laptops and cell phones are allowed in this classroom on condition that you use them exclusively for note taking. Otherwise, you will not be permitted to bring them to class. Class Schedule / Topical Outline subject to change Week Dates Topic Reading & Online 1 Sept 20 2 Sept27 Introduction to Processing Drawing with pixels The Processing development environment Running your Processing applications Variables and Code Blocks What are variables? Declaring and initializing variables Use of variables System variables Boolean logic and simple conditionals Lecture 1-Drawing with Pixels Learning Processing: Introduction, Ch 1-2 Processing: Preface & Chapters 1-3 Lecture 2-The Nature of Code, Variables, and Interactivity Learning Processing: Ch 3-4 3

4 Processing: Ch 4 3 Oct 4 4 Oct 11 5 Oct 18 6 Oct 25 7 Nov 1 Conditionals What is Boolean logic What are conditional statements in programming How are conditionals used to control program flow Basic interactivity Loops and Problem Solving Iteration and repetition Types of loops Using loops to solve common programming problems Functions What are functions? How functions make programming easier Declaring and defining a function Mid-Term Exam This exam will cover material from Weeks 1-5 of class. Lecture 3-Conditionals Learning Processing: Ch 5 Processing: Ch 5 Lecture 4-Loops Learning Processing: Ch 6 Lecture 5-Functions Learning Processing: Ch 7 Processing: Ch 8 Objects What is an object? What are classes? How to create your own objects and classes Midterm exam Lecture 7-Objects Learning Processing: Ch 8 4

5 Processing: Ch 9 8 Nov 8 9 Nov Nov Dec 6 12 Dec 13 Arrays What is an array? Declaring arrays Using arrays in programs Putting it all Together Object-oriented design for taking on larger projects Algorithms and debugging Intersecting Shapes Timers Working with Media Placing text on screen Working with bitmap images Sound and external libraries Course Summation Working on Final Project P5.js intro Lecture 8-Arrays Learning Processing: Ch 9 Processing: Ch 10 Final project proposal due Lecture 9- Problem Solving with Algorithms Learning Processing: Ch Final project design due Final Exam review Lecture 10- Images, Text, and Sound in Processing Learning Processing: Ch 12 Final Exam - Covers fundamentals of objectoriented programming in Processing, functions and Arrays Processing: Ch 6-7 Final project alpha version due Final project completed By Dec 11, 6AM and turned in! Final Exam 5

6 Readings and Online Lectures Some weeks, there is a lot. Some weeks, there is almost none. You have two textbooks because one is a nice thin little book that tells you only the essentials while the other is a big fat textbook that will answer much deeper questions. The readings may sometimes seem to duplicate one another, but their approaches are very different. Each week's readings are listed in the recommended order, switching back and forth between books so that you get the maximum benefit from both of them. It is strongly suggested that you do all of the chapter exercises as you encounter them in the book even when they are not explicitly assigned in order to ensure that you understand all of the material. The answers to most of the exercises can be found in the books or on their companion web sites, but do not be tempted to simply copy down the answers in the hopes that they will later magically make sense; they won't make sense until you understand them. Readings and online materials will be posted to Blackboard during the week preceding that week s class. They should be completed prior to the live class time. The instructors reserve the right to give "pop quizzes" (which affect the class participation grade) both in-class and online in order to ensure that you are reading the material. Student Blog Each student will have a blog on Blackboard where they will be asked to post assignments and exercises. This will also be an online forum for receiving comments from your instructor and from other students. Expectations for what must be posted on your blog may vary week to week and will be announced during class or in weekly class follow-up materials. Your instructor may also post additional videos or instructional materials during the week between classes to extend or supplement the content covered during the preceding week s class. Your participation in an activity on your blog will constitute a major portion of your class participation grade. Assignments At the start of each week, you should check the course schedule for all assignments due online and in class. Not all assignments depend on completing the readings and online lectures; you are encouraged to read the assignments BEFORE doing all of the reading so that you have some idea of what to look for as you work. 6

7 Students are expected to do their own work. We encourage you to help each other, but we expect to see individual effort and creativity. We reserve the right to not give credit to students whose homework looks too similar. Projects that are plagiarized in any way (or that contain properly attributed code but no original functionality) will not be given credit. No late assignments will be accepted without an excused absence or by special arrangement with the appropriate instructor BEFORE the due date. Weekly Homework Assignments Most weeks you will be a homework problem to complete. The homework assignment will require you to write an original program that makes use of the concepts that were presented within that week s online and in-class session. Unless otherwise stated, all these assignments are due by 6am one day before the class. All homework assignments will be worth 4 points, for a total of 32 points are graded as follows: 0 points Not submitted 1-2 points Completed, minimally or with major errors. "Minimally" means that you only slightly modified the book example or online solution. Major errors are problems that prevent your code from running. 3 points Completed satisfactorily. "Satisfactorily" means that you met the requirements for the assignment, but your work has opportunity for improvement. 4 points Completed exceptionally. "Exceptionally" means that you showed noteworthy creativity and incorporated some new feature or function beyond just modifying the example from class or in the book and/or meeting the minimal requirements of the assignment. Code must be well commented and with descriptive variable names. Final Project: For your final project, you will design and build a simple interactive application using a process similar to that outlined in Chapter 10 of the Learning Processing text. This can be a game or something else of your choosing. You will start by describing the concept for your project and then breaking it down into pseudo- 7

8 code that describes the required steps. That pseudo-code will then be converted into a set of Processing classes that implement the concept. Projects will be graded for originality as well as your ability to apply basic programming concepts outlined in the book. Students are encouraged to explore and apply more advanced Processing topics on their own. More details will be provided during week 8 of class. Grading Your final grade will be based on the following distribution: 32% Weekly Homework (8 4-points per assignment) 1% Class Participation (Attendance, homework presentation and online participation) 33% Exams (midterm is 18% & final is 17%) 33% Final Project Grades will be posted to Blackboard in a timely manner so you can track your progress throughout the course. Grading Rubric: A Outstanding, insightful work. Goes beyond requirements of the task to develop an assignment, which is robust, maintainable, well documented and adheres to the coding standards we have established in class. Displays creativity and originality A- Very good work. Purposefully and logically developed. Thoroughly addresses all aspects of the assignment with some minor structural issues and/or bugs. Shows evidence of sound understanding of concepts and thoughtful examination of the material. Assignment is well documented and organized B+ Good work. Generally clear, accurate and working. Adequately addresses all requirements of the assignment but may have some structural issues and/or noticeable bugs in the code. Demonstrates understanding of course concepts, with evidence of some thoughtful examination and reflection B Satisfactory work. Shows basic understanding of concepts with minimal evidence of reflection or thoughtful analysis. Complies with the basic requirements, obvious structural 8

9 issues and/or bugs exist B- Minimally satisfactory work. Shows some understanding of concepts with little reflection or analysis. Barely meets basic requirements of assignment C+ Unsatisfactory work. Fails to address the topic in a meaningful way. May be extremely brief, inaccurate, illogical or C undeveloped C- 69% or below F Please note that CPS does not award grades below a C- for graduate level courses; below a C- is failure. Attendance Policy/Tardiness Students are expected to attend all classes, be on time and stay for the duration of the class. Any unexcused absences or excessive tardiness will result in a grade deduction at the discretion of the instructor. In the event of legitimate and unavoidable situations, such as personal illness, urgent family or work-related issues, students should reach out to the instructor before class. Academic Honesty and Integrity Statement The University views academic dishonesty as one of the most serious offenses that a student can commit while in college and imposes appropriate punitive sanctions on violators. Here are some examples of academic dishonesty. While this is not an all-inclusive list, we hope this will help you to understand some of the things instructors look for. The following is excerpted from the University s policy on academic integrity; the complete policy is available in the Student Handbook. The Student Handbook is available on the CPS Student Resources page > Policies and Forms. Cheating intentionally using or attempting to use unauthorized materials, information or study aids in an academic exercise Fabrication intentional and unauthorized falsification, misrepresentation, or invention of any data, or citation in an academic exercise Plagiarism intentionally representing the words, ideas, or data of another as one s own in any academic exercise without providing proper citation 9

10 Unauthorized collaboration instances when students submit individual academic works that are substantially similar to one another; while several students may have the same source material, the analysis, interpretation, and reporting of the data must be each individual s independent work. Participation in academically dishonest activities any action taken by a student with the intent of gaining an unfair advantage Facilitating academic dishonesty intentionally or knowingly helping or attempting to violate any provision of this policy For more information on Academic Integrity, including examples, please refer to the Student Handbook, pages Northeastern University Online Policies and Procedures For comprehensive information please go to End-of-Course Evaluation Surveys Your feedback regarding your educational experience in this class is very important to the College of Professional Studies. Your comments will make a difference in the future planning and presentation of our curriculum. At the end of this course, please take the time to complete the evaluation survey at Your survey responses are completely anonymous and confidential. For courses 6 weeks in length or shorter, surveys will be open one week prior to the end of the courses; for courses greater than 6 weeks in length, surveys will be open for two weeks. An will be sent to your HuskyMail account notifying you when surveys are available. Northeastern University Online Copyright Statement Northeastern University Online is a registered trademark of Northeastern University. All other brand and product names are trademarks or registered trademarks of their respective companies. This course material is copyrighted and Northeastern University Online reserves all rights. No part of this publication may be reproduced, transmitted, transcribed, stored in a retrieval system, or translated into any language or computer language, in any form or by any means, electronic, mechanical, magnetic, optical, chemical, manual, or otherwise, without the express prior written permission of Northeastern University Online. 10

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