The School of Library, Archival and Information Studies (SLAIS) The University of British Columbia
Course title: Python Programming, Course Code: LIBR 559C
Program: MLIS, Dual
Year: Winter Session I 2017
Time: Wed. 9:00–11:50 p.m.
Location: SLAIS Terrace Lab
Instructor: Dr. Muhammad Abdul-Mageed
Office location: 494
Office phone: 6048-274-530
Office hours: Mon. 10:00am-12:00pm or by appointment. (I can also handle inquiries via email or Skype if Mondays are not possible for you.)
E-mail address: muhammad.mageed@ubc.ca
iSchool@UBC Student Portal: http://canvas.ubc.ca
Rationale/Background: Python is a remarkably powerful dynamic programming language that is used for a very wide variety of application domains, including text processing, data mining and analytics, and web development. Python’s very clear, readable syntax (e.g., use of English keywords where other languages use punctuation) and strong introspection capabilities make it an ideal choice for novice programmers. Indeed, more and more instructors are adopting the language for introductory programming courses.
Goal: The goal of this course is to introduce programming concepts using the Python programming language. The course is designed to be self-standing and focuses on basic concepts, assuming no prior programming experience. For an IT professional, programming skills are almost indispensable: General understanding of programming and programming experience both improve students’ overall understanding of information systems and help develop their general problem solving skills. Programming skills are also essential for analysis and mining of information users’ behaviors and communities. Good programming skills significantly boost work productivity and students usually utilize them during their program of study and throughout their professional lives.
Potential audiences for this course are:
- People with no programming/IT experience who want to acquire an introductory level understanding of programming generally and Python specifically.
- People planning to take courses on text analytics, social media mining, information retrieval, information visualization, human-information interaction, natural language processing, machine learning, web and database design, or similar courses, who want to prepare for, or significantly advance, carrying out work and research in these areas.
Upon completion of this course students will be able to:
- Identify, analyze, assess, and solve a problem or need using Python programming. [1.1]
- Apply Python programing knowledge to practical information access, extraction, retrieval, and data (e.g., text) mining tasks. [1.2]
- Enhance interpersonal and written communication skills through assignments and discussions with classmates and instructor. [2.1]
- Collaborate effectively with peers through course assignments, demonstrating the ability to work as part of a team, including initiative taking, integrity, dependability and co-operation. [3.1]
- Understand, develop, and apply relevant library and information science tools to address information needs, questions and issues. [4.1]
-
Overview of (Python) programming;
-
Unix: Directory navigation & control, File maintenance commands, Display commands, Text processing
-
Data types (numbers. Strings, lists, tuples, and dictionaries/hashes);
-
Control flow & functions;
-
File input and output;
-
Exception handling;
-
Iterators;
-
Applications: Simple text processing
- MLIS and Dual MAS/MLIS: Completion of MLIS Core or permission of SLAIS Graduate Advisor
- Access to a computer: There will be machines in the lab where class is held, but you will need to use your own machine or have access to a machine on a regular basis. You should make your own arrangements for this.
• This course will involve lectures, class hands-on activities, individual and group work, and instructor-, peer-, and self-assessment.
Required book:
- Hetland, M. L. (2006). Beginning Python: from novice to professional (3rd ed.). Apress.). ISBN-10: 1484200292. ISBN-13: 978-1484200292. (Note we will use the third edition (March 10 2017) of the following book)
Suggested supplemental books:
- Bird, S., Klein, E., & Loper, E. (2009). Natural language processing with Python. " O'Reilly Media, Inc.". (ISBN-13: 063-6920516491; ISBN-10: 0596516495) nltk-book
Online Tutorials:
| Week | Date | Topic | Readings / Slides | What is due/out |
|---|---|---|---|---|
| 1 | 6-Sep | Course overview & Unix Intro. | No readings / slides_0; vid_1; vid_2 | |
| 2 | 13-Sep | Python Intro., Editors &Literals | Hetland CH01 / slides_1; vid_3 (literals_stings.mov) | assign 1 out |
| 3 | 20-Sep | Sequences (Lists & Tuples) | Hetland CH02 / slides_2 & slides_3; vid_4 (revision_lists_tuples.mov) | |
| 4 | 27-Sep | Sequences (Strings) | Hetland CH03 / slides_4 | assign 1 due; assign 2 out |
| 5 | 4-Oct | Dictionaries | Hetland CH04 / slides_5; vid_5 | |
| 6 | 11-Oct | Conditionals & Loops | Hetland CH05 / slides_6 | assign 2 due |
| 7 | 18-Oct | Functions | Hetland CH06 / slides_7 | assign 3 out |
| 8 | 25-Oct | Revision & Project Discussion | No readings / slides_8 | |
| 9 | 1-Nov | Exceptions | Hetland CH08 /slides_9 | assign 3 due |
| 10 | 8-Nov | Modules | Hetland CH10 /slides_10 | Project outline due |
| 11 | 15-Nov | Files | Hetland CH11 /slides_11 | |
| 12 | 22-Nov | Text processing | nltk-book CH03 / slides_12 | |
| 13 | 29-Nov | Revision & Project Work | No readings | Final paper due |
| Assignment | Due date | Weight |
|---|---|---|
| Professionalization | 5% | |
| ASSIGNMENT 0: In-Class & Video Tutorial Code | Throughout weeks 2-11 | 30% |
| ASSIGNMENT 1: | Sept. 27 | 10% |
| ASSIGNMENT 2: | Oct 11 | 10% |
| ASSIGNMENT 3: | Nov. 1 | 10% |
| ASSIGNMENT 4: Term Project (GROUP) | ||
| Proposal/Outline | Nov 8 | 5% |
| Report/Product | Nov 29 | 30% |
Notes about assignments:
- All written assignments must be submitted before 9:00 am of a respective assignment date;
- All coding assignments must be submitted in print form as well as the form of a Python script (either .py file or an "iPython/Jupyter notebook"). Support will be provided on how to create ".py" scripts and iPython notebooks;
- Project proposal/outline must be in a pdf format;
- All submitted files should be labeled with your last name(s) followed by an underscore and an assignment code. Assignment codes are two digit numbers, i.e., the assignment number preceeded by "0" for readability (e.g., “assignment01,” “asignment02,”). For example, "ASSIGNMENT 01" would be submitted as “abdul-mageed_assignment01.ipynb”
Assignments/Requirements in Detail
Professionalization: In an educational (or work) setting, each of us is expected to learn and demonstrate ability to interact with others professionally and collegially. This is important as it ensures we all work together efficiently. A total of 5% of your grade is devoted to encouraging professional communication related to the course both inside class (e.g., the way you interact with peers and the instructor) and outside class (responding to instructor communication timely). Practically, this means you should come to class in time, ensure your communication with everyone in class is civil, be attentive and do not engage in an external task or browse the social web during the class session, and respond to instructor email timely (e.g., not consistently responding after 3 days, but responding the same day or in 1 or 2 days is fine and an occasional delay within reason is also fine [e.g., if you are traveling]). Part of professionalization is clear communication. As such, you are encouraged to ask questions, feely and civilly agree/disagree with others, etc.
Assignment 0: In-Class & Video Tutorial Code Throughout weeks 2-11, you are required to practice coding inside the class session. There will be time in-class devoted to practice where you will be able to a) extend examples the instructor provides in his slides/notebooks and/or b) run code from the Hetland book. The resulting code may end up having some mistakes, look unorganized, lack depth and illustrative examples for a given task, or look identical to what the code instructor provides. To help you write better code and acquire deeper understanding of programming concepts, you will be given the chance to spend some more time at home re-running the same code with more examples. To further enhance the process, the instructor will provide thematically-organized video tutorials that you are required to watch before working further on your in-class code. Once you watch the video relevant to a given week, you can re-organize and tidy your code, provide depth and run it with more examples, and submit it.
This assignment is meant to engage you both during the class time and at home (where you can involve in content explained in a differnt mode and engage at your chosen time and place). The goal is to ensure you are not only able to run code shared with you during a given session, but also extend it slightly. This assignment is only accepted if you attend class. If you miss a class, this automatically means you are not allowed to submit In-Class & Video Tutorial Code for the session/sessions you missed. As such, failure to attend class without excuse (e.g., a sickness or another emergency which you must explain to the instructor over email prior to a class whenever possible) will result in a lower class grade. Note: The Video Tutorials are typically short (between 15-30 minutes long each).
Deliverables: In-class code snippets A total of 10 code snippets in the form of ".py" or ".ipynb" files for the code you write based on In-Class practice + Watching Video Tutorials for weeks 2-11 of class.
Assignment 1-3: Coding assignments These three assignments are coding exercises meant to support learning of the covered content. Each of these will be extensions of problems covered in class. The following criteria are required for each of them:
- You must run your code before submitting, and ensure it is working code. Also, you should provide evidence that your code runs well (e.g., the result of each snippet when run or first 5/few lines of output in the case of large amounts of output). The code should be submitted in the form of ".py" or ".ipynb" files.
- For each problem, in addition to your code, you should provide explanatory Python comments as appropriate. Your comments should be short and to-the-point. As a programmer, you should develop a sense as to when to use comments and when not. This requirement is meant to teach you about using comments. Using comments will be discussed in class and feedback on your deliverables will be provided.
- In addition to the functionality of your code, you should care for algorithms and style. This means, over time, you are expected to develop a sense of what the best ways to solve a problem in a computationally efficient way and using the capabilities of the Python programming language. These are aspects that will be discussed in class over the course of the semester.
Deliverables: ".py" or "iPython notebooks" with code
- For each of assignments the 1-3 assignments, you are required to submit your code an in the form of ".py" or ".ipynb" files, including your code and relevant narratives/comments, etc.
Assignment 4: Term Project The purposes of this assignment include:
- Identifying, analyzing, assessing, and solving a problem or need using Python programming;
- Applying acquired Python skills and knowledge to practical tasks;
- Developing oral and written communication skills through discussions with classmates and instructor;
- Demonstrating ability to work as part of a team, including initiative taking, integrity, dependability and co-operation, and effective collaboration.
For this assignment, each student is required to work as part of a group of of 3 students on a project involving a significant amount of coding (e.g., coding at least equal to or more than the amount you wrote for assignments 1-3). Example projects include designing a system that generates language (e.g., the language of William Shakespeare), analyzes emotions in a dataset of literary work, visualizes concepts from a data source, summarizes texts, builds a simple website that delivers some service, builds a web interface or an app for a service (e.g., a library service), builds an interactive database with use case scenarios in meaningful contexts, analyzes a publicly available (e.g., governmental) dataset. You will have the chance to discuss your project with the instructor upon your request, and example projects will be discussed with class as well.
Deliverables Proposal (500 words)
- Who are the the group members?
- What are you designing or coding for?
- What motivates your work? Why is it important or useful? For which audience?
- How does your project compare to other projects people have articulated?
- How do you think the project will further your Python programming skills?
- What Python libraries do you expect to use?
- How does the work bread down and what each member of the team be contributing?
- Timeline for completing the project, including goals for each segment.
Final Report/Paper (3000-4000 words maximum) The final deliverable should include:
- A detailed and clear description of your project, including the necessary sections, as appropriate. For system-oriented projects (e.g., building a website or an app), you will need to provide motivations, describe the audience, details of your implementation, and system functionality. For projects more focused on data analysis, you will need to include research questions, a brief literature review, a description of datasets, implementation details and methods employed, results, and a conclusion involving limitations and future directions;
- All relevant code;
- Pointers to live versions of your system, if any;
- Some of these components will be more relevant to some projects but not others. For example, if your project involves a system for analysis of a dataset, you will need to include standard sections as you would find in an academic journal;
- As appropriate, you should situate your work within the wider context of previous works and approaches, with supporting arguments (~ 5 sources);
- Use case scenarios and screenshots from your system interface, if any;
- Employment of figures, tables, and visualizations as appropriate to enhance argument and facilitate communicating your findings/results;
Attendance: The UBC calendar states: “Regular attendance is expected of students in all their classes (including lectures, laboratories, tutorials, seminars, etc.). Students who neglect their academic work and assignments may be excluded from the final examinations. Students who are unavoidably absent because of illness or disability should report to their instructors on return to classes.”
Evaluation: All assignments will be marked using the evaluative criteria given in this syllabus and also those provided on the SLAIS web site.
Written & Spoken English Requirement: Written and spoken work may receive a lower mark if it is, in the opinion of the instructor, deficient in English.
Access & Diversity: Access & Diversity works with the University to create an inclusive living and learning environment in which all students can thrive. The University accommodates students with disabilities who have registered with the Access and Diversity unit. You must register with the Disability Resource Centre to be granted special accommodations for any on-going conditions. Religious Accommodation: The University accommodates students whose religious obligations conflict with attendance, submitting assignments, or completing scheduled tests and examinations. Please let your instructor know in advance, preferably in the first week of class, if you will require any accommodation on these grounds. Students who plan to be absent for varsity athletics, family obligations, or other similar commitments, cannot assume they will be accommodated, and should discuss their commitments with the instructor before the course drop date. UBC policy on Religious Holidays.
Plagiarism The Faculty of Arts considers plagiarism to be the most serious academic offence that a student can commit. Regardless of whether or not it was committed intentionally, plagiarism has serious academic consequences and can result in expulsion from the university. Plagiarism involves the improper use of somebody else's words or ideas in one's work.
It is your responsibility to make sure you fully understand what plagiarism is. Many students who think they understand plagiarism do in fact commit what UBC calls "reckless plagiarism." Below is an excerpt on reckless plagiarism from UBC Faculty of Arts' leaflet, Plagiarism Avoided: Taking Responsibility for Your Work.
"The bulk of plagiarism falls into this category. Reckless plagiarism is often the result of careless research, poor time management, and a lack of confidence in your own ability to think critically. Examples of reckless plagiarism include:
- Taking phrases, sentences, paragraphs, or statistical findings from a variety of sources and piecing them together into an essay (piecemeal plagiarism);
- Taking the words of another author and failing to note clearly that they are not your own. In other words, you have not put a direct quotation within quotation marks;
- Using statistical findings without acknowledging your source;
- Taking another author's idea, without your own critical analysis, and failing to acknowledge that this idea is not yours;
- Paraphrasing (i.e. rewording or rearranging words so that your work resembles, but does not copy, the original) without acknowledging your source;
- Using footnotes or material quoted in other sources as if they were the results of your own research; and
- Submitting a piece of work with inaccurate text references, sloppy footnotes, or incomplete source (bibliographic) information."
Bear in mind that this is only one example of the different forms of plagiarism. Before preparing for their written assignments, students are strongly encouraged to familiarize themselves with the following source on plagiarism: the Academic Integrity Resource Centre.
If after reading these materials you still are unsure about how to properly use sources in your work, please ask me for clarification. Students are held responsible for knowing and following all University regulations regarding academic dishonesty. If a student does not know how to properly cite a source or what constitutes proper use of a source it is the student's personal responsibility to obtain the needed information and to apply it within University guidelines and policies. If evidence of academic dishonesty is found in a course assignment, previously submitted work in this course may be reviewed for possible academic dishonesty and grades modified as appropriate. UBC policy requires that all suspected cases of academic dishonesty must be forwarded to the Dean for possible action.