EECE 1317 (ENGINEERING PROGRAMMING)

Lecture 1 – Introduction to Computers and Programming

In this lecture you will learn about :

• The basic hardware and software parts of a computer.
• How Computers Store Data
• How a Program Works
• Using Python
• Designing a program

NOTES

Lecture 2 – Input and Output Processing

In this lecture, you will learn about:

• How to display statements using the ‘print’ function
• Numbers and Operations

NOTES

Lecture 3 – Numbers and Sequence

In this lecture, you will know more about:

• Numbers and Operation
  • Formatting
• Types of Numbers
  • Integer (int)
  • Float (float)
  • Complex (complex)
• Sequence Types

NOTES

Lecture 4 – Sequence and ‘if’ statements

In this lecture, you will learn about:

• List, Tuples and Useful Built-in Functions
• Indexing and Slicing a sequence
• ‘if’ statements
  • Conditional Tests
  • ‘if’ and ‘if-else’ statements

NOTES

Lecture 5 – ‘if’ statements and Dictionaries

In this lecture, you will learn about:

• ‘if-elif-else’ statements
• Dictionaries

NOTES

Lecture 6 – ‘while’ loop

In this lecture, you will learn about:

• while loop vs for loop
  • Examples and Activities
• Using ‘break’
• Using ‘continue’

NOTES

Lecture 7 – Functions

In this lecture, you will learn about:

• ‘Functions’ in python
  • Introduction
  • Defining a Function
  • Passing Arguments
  • Return Values
  • Passing a List

NOTES

Lecture 8 – Random Numbers

In this lecture, you will learn about:

• Generating Random Numbers
• Storing Your Functions in ‘Modules’
  • About ‘Modules’
  • Creating and Importing ‘Modules’
  • Importing Specific Functions in ‘Modules’
• Files
  • open()
  • read()
  • close()
  • readlines()
  • w, r, a modes
• Exceptions

NOTES

Lecture 9 – Functional Tools

In this lecture, you will learn about:

• Functional Tools
  • lambda
  • map
  • filter
  • list comprehension
  • reduce

NOTES

Lecture 10 – SymPy

In this lecture, you will learn about:

• ‘Symbol’ vs ‘symbols’
  • substitute a variable with a value using ‘subs’
  • expand
• Numeric Types
  • Rational and RealNumber
  • float() and evalf()
• Differentiation
• Integration
• Matrix
• Other SymPy Functions

NOTES

Lecture 11 – NumPy

In this lecture, you will learn about:

• Arrays – a new data type
  • Vectors (1d-arrays)
    • numpy.arange
  • Matrices (2d-matrix)
  • Convert from array to list or tuple

NOTES

Lecture 12 – Data Visualization and Pandas

In this lecture, you will learn about:

• Data Type
  • Series
  • Data Frame
• Create Panda Series
  • From dictionary
  • From list
• Plotting Data in Panda Series
• Using pyplot

NOTES