COMP07185 2020 Introduction to Python Programming 2

General Details

Full Title
Introduction to Python Programming 2
Transcript Title
Python Programming 2
Code
COMP07185
Attendance
N/A %
Subject Area
COMP - Computing
Department
BUS - Business
Level
07 - NFQ Level 7
Credit
05 - 05 Credits
Duration
Semester
Fee
Start Term
2020 - Full Academic Year 2020-21
End Term
9999 - The End of Time
Author(s)
Aine Doherty, Kevin Peyton
Programme Membership
SG_MBUSI_H08 202000 Bachelor of Arts (Honours) in Business & ICT
Description

This module builds on the fundamentals of python programming learned from the previous module. The student will learn how to develop programs that make use of python constructs such as lists and dictionaries. By developing structured and reusable code through the implementation of functions and modules the student will also learn about using functionality with existing pre-built libraries. These techniques will be combined with reading and writing of data to files and creating simple visualisations of data.

Learning Outcomes

On completion of this module the learner will/should be able to;

1.

Demonstrate how to access, change, add and remove elements from a List

2.

Discover how functions allow us to develop modular code

3.

Implement the structuring data as key value pairs with  Dictionaries

4.

Develop programs to process data file with the utilisation of existing Python libraries

Teaching and Learning Strategies

There will be one hour per week to to explain theory using examples and code samples where appropriate. The remaining two hours will be spent working in Computer labs where your tutor will give direct instruction and advice. Lab sheet based activity will be used throughout the students are encouraged to work through and complete these tasks.

Independent learning is also encouraged and students are advised to join a programming club that meets outside of class time.

Module Assessment Strategies

There will be ongoing assessment throughout the semester. These will allow the learner to provide a practical implementation of topics covered and receive regular feedback from their tutor.

These assessments comprise of 4 class programming exercises  in computer lab where students will complete a problem and submit through Moodle.

Students will also be assessed using 2 Multiple Choice Questions (MCQ) exams which will also be taken in computer lab. All of these assessments are compulsory. 

MCQ Assessment

Held normally in Week 3 and Week 6. Each account for 5% of student final mark 

In class programming Assessment

Held normally in Week 3 (5%),  Week 6 (5%),  Week 8 (20%), Week 10 (20%)

Repeat Assessments

Students will sit a repeat exam in Autumn. CA work may also be required to be submitted at this time. 

Module Dependencies

Prerequisites
COMP07184 202000 Introduction to Python Programming 1

Indicative Syllabus

1. Demonstrate how to access, change, add and remove elements from a List

  • Accessing elements
  • Modifying elements
  • Adding and deleting elements
  • Sorting and sort order of elements

2. Discover how functions allow us to develop modular code

  • Writing simple functions that return only a value
  • Developing functions that take parameters and return values
  • Passing lists and receive lists from functions
  • Storing functions in separate modules

3. Implement the structuring data as key value pairs with  Dictionaries

  • Accessing values in a dictionary
  • Adding, modifying and deleting values 
  • Techniques for looping through dictionary values

4. Develop programs to process data file with the utilisation of existing Python libraries

  • Reading and writing data to text files
  • Reading data from a file line by line or full contents
  • Dealing with error exceptions in file reading and writing
  • Working with the contents of a file and storing data (e.g. csv file, json formatted data)
  • Implementing existing built in libraries that will allow data from external file to be visualised, graphed or formatted.

 


 

Coursework & Assessment Breakdown

Coursework & Continuous Assessment
60 %
End of Semester / Year Formal Exam
40 %

Coursework Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Continuous Assessment Continuous Assessment Assessment 60 % OnGoing 1,2,3,4
             
             

End of Semester / Year Assessment

Title Type Form Percent Week Learning Outcomes Assessed
1 Final Exam Final Exam Practical Evaluation 40 % End of Semester 1,2,3,4
             
             

Full Time Mode Workload


Type Location Description Hours Frequency Avg Workload
Lecture Lecture Theatre Direct Instruction 1 Weekly 1.00
Tutorial Computer Laboratory Practical Instruction 2 Weekly 2.00
Independent Learning Not Specified Independent Learning 4 Weekly 4.00
Total Full Time Average Weekly Learner Contact Time 3.00 Hours

Required & Recommended Book List

Recommended Reading
2016-10-15 Python Createspace Independent Publishing Platform
ISBN 153949747X ISBN-13 9781539497479

Python: The Ultimate Beginners Guide - Start Coding Today In this generation of computer programming and highly technical applications, it's smart to move with the times. If you don't, you will be left behind in many undertakings that you want to pursue. If you want to be the cream of the crop, you must learn how to create and read computer or programming language. Your knowledge will not only set you apart from your contemporaries, but will also boost your productivity and self-advancement in relevance with the expanding world of computer lingo. What is Python? Python is a powerful programming language. You can use it for free in developing software that can run on Nokia mobile phones, Windows, Mac OS X, Linux, Unix, JAVA, Amiga, and many more operating systems. Python is object-oriented and provides simple and easy to read and use language that you can utilize in creating your programs. Even if you're not a programmer, it would be beneficial for you to know about Python because of the numerous uses you can take advantage of. So, where is Python used? Here is a summary of the uses of Python 1.Process images 2.Write Internet scripts 3.Embed scripts 4.Manipulate database programs 5.Provide system utilities 6.Create artificial intelligence 7.Create graphical user interface applications using IDEs on Windows and other platforms Advantages of learning Python For you to understand more what you stand to gain from learning Python, here are its major pros. - Learn Python easily because the syntax or language in programming is simple. - Prepare codes readily that can be used in various operating systems such as Linux, Windows, Unix and Mac OS X. - Promptly access the Python standard library that helps users in creating, editing, accessing, running and maintaining files. - Integrate programs and systems promptly because the programming language is easy to follow. - Handle the errors more reliably because the syntax is capable of identifying and raising exceptions. - Learn more quickly because the programming language is object oriented. - Access IDLE, which makes it possible for users to create codes and check if the codes work, through Python's interactive system. - Download Python for free, and enjoy all the benefits of a free application. - Embed your Python data in other systems. - Stop worrying about freeing the memory for your codes, because Python does it automatically. Let's make sure, you make the most out of this new information. All you need to do is to be open-minded, and be willing to learn. Get your copy today!

Recommended Reading
2015-11-20 Python Crash Course No Starch Press
ISBN 9781593276034 ISBN-13 1593276036

Learn PythonFast! Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time. In the first half of the book, youll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. Youll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, youll put your new knowledge into practice with three substantial projects: a Space Invadersinspired arcade game, data visualizations with Pythons super-handy libraries, and a simple web app you can deploy online. As you work through Python Crash Course youll learn how to: *Use powerful Python libraries and tools, including matplotlib, NumPy, and Pygal *Make 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progresses *Work with data to generate interactive visualizations *Create and customize Web apps and deploy them safely online *Deal with mistakes and errors so you can solve your own programming problems If youve been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code! Uses Python 2 and 3

Recommended Reading
2015-12-24 Learning Python
ISBN 1783551712 ISBN-13 9781783551712

Module Resources