PROCEDURE TO OBTAIN TRANSCRIPTS AND MIGRATION CERTIFICATE FROM ANNA UNIVERSITY

PROCEDURE TO OBTAIN TRANSCRIPTS AND MIGRATION CERTIFICATE FROM ANNA UNIVERSITY

 

I. Procedure for Obtaining Transcripts - Download

II. Procedure for Obtaining Transcripts online.

                       (Required for higher studies in foreign Universities)

1.  Applicants can request their transcripts online at www.annauniv.itranscripts.in 

2. The applicant shall sign-up/ login to the above portal and is required to fill-in all details provided in the portal. 

3. The applicant is required to upload all documents requested in the portal. Online applications that do not have the requested documents will not be processed. 

4. Applicant shall provide the shipping address for delivering the processed transcripts.

5. Payment for processing the transcript application shall be made online.

6. Once the applicant completes the payment, He / she can track the status of the transcript order.

7. The processed transcripts will be couriered / shipped to the address entered by the applicant.

8. The applicant will receive the transcript at the shipping address. Applicants are not permitted to collect the transcripts requested online at the University office.

 III. Migration Certificate.

1. Go to Office of the Controller of Examinations, Anna University. - http://aucoe.annauniv.edu/

2. Find the menu named student services in the navigation bar of the home page and go to it.

3. There you can see a link for migration certificate.

4. The PDF document contains the instruction and application for applying the migration certificate.

Python Simple Exercises and Reference Books

 PYTHON BOOKS

Latest python jobs

Python simple exercises, Practice book and Reference Books can be downloaded here

1.Exercise - Download Below

2.Practice Book - Download Below

3.Automate-the-boring-stuff-with-python - Download Below

 

4.Powerful Python - Download Below

 5.Python:Beyond the basics - Download Below

6.Think Python - Download Below

GE8151 Problem Solving and Python Programming Syllabus

GE8151 Problem Solving and Python Programming Syllabus 

2017 Regulation

•  To know the basics of algorithmic problem solving

•  To read and write simple Python programs.

•  To develop Python programs with conditionals and loops.

•  To define Python functions and call them.

•  To use Python data structures –- lists, tuples, dictionaries.

•  To do input/output with files in Python.

UNIT I ALGORITHMIC PROBLEM SOLVING

Algorithms, building blocks of algorithms (statements, state, control flow, functions), notation (pseudo code, flow chart, programming language), algorithmic problem solving, simple strategies for developing algorithms (iteration, recursion). Illustrative problems: find minimum in a list, insert a card in a list of sorted cards, guess an integer number in a range, Towers of Hanoi.

UNIT II DATA,EXPRESSIONS,STATEMENTS

Python interpreter and interactive mode; values and types: int, float, boolean, string, and list; variables, expressions, statements, tuple assignment, precedence of operators, comments; modules and functions, function definition and use, flow of execution, parameters and arguments; Illustrative programs: exchange the values of two variables, circulate the values of n variables, distance between two points.

UNIT III CONTROL FLOW,FUNCTION

Conditionals: Boolean values and operators, conditional (if), alternative (if-else), chained conditional (if-elif-else); Iteration: state, while, for, break, continue, pass; Fruitful functions: return values, parameters, local and global scope, function composition, recursion; Strings: string slices, immutability, string functions and methods, string module; Lists as arrays. Illustrative programs: square root, gcd, exponentiation, sum an array of numbers, linear search, binary search.

UNIT IV LISTS,TUPLES,DICTIONARIES
                                                                                  

Lists: list operations, list slices, list methods, list loop, mutability, aliasing, cloning lists, list parameters;Tuples: tuple assignment, tuple as return value; Dictionaries: operations and methods; advanced list processing - list comprehension; Illustrative programs: selection sort, insertion sort, mergesort, histogram.

UNIT V FILES, MODULES, PACKAGES 

Files and exception: text files, reading and writing files, format operator; command line arguments, errors and exceptions, handling exceptions, modules, packages; Illustrative programs: word count, copy file.

TOTAL : 45 PERIODS

OUTCOMES: Upon completion of the course, students will be able to

•  Develop algorithmic solutions to simple computational problems
•  Read, write, execute by hand simple Python programs.
•  Structure simple Python programs for solving problems.
•  Decompose a Python program into functions.
•  Represent compound data using Python lists, tuples, dictionaries.
•  Read and write data from/to files in Python Programs.

TEXT BOOKS:

1. Allen B. Downey, ``Think Python: How to Think Like a Computer Scientist‘‘, 2nd edition, Updated for Python 3, Shroff/O‘Reilly Publishers, 2016 (http://greenteapress.com/wp/think-python/)

2. Guido van Rossum and Fred L. Drake Jr, ―An Introduction to Python – Revised and updated for Python 3.2, Network Theory Ltd., 2011.

REFERENCES:

1. John V Guttag, ―Introduction to Computation and Programming Using Python‘‘, Revised and expanded Edition, MIT Press , 2013

2. Robert Sedgewick, Kevin Wayne, Robert Dondero, ―Introduction to Programming in Python: An Inter-disciplinary Approach, Pearson India Education Services Pvt. Ltd., 2016.

3. Timothy A. Budd, ―Exploring Python‖, Mc-Graw Hill Education (India) Private Ltd.,, 2015.

4. Kenneth A. Lambert, ―Fundamentals of Python: First Programs‖, CENGAGE Learning, 2012.

5. Charles Dierbach, ―Introduction to Computer Science using Python: A Computational Problem-Solving Focus, Wiley India Edition, 2013.

6. Paul Gries, Jennifer Campbell and Jason Montojo, ―Practical Programming: An Introduction to Computer Science using Python 3‖, Second edition, Pragmatic Programmers, LLC, 2013


To download the syllabus CLICK HERE
To download notes CLICK HERE  
To download 2 Marks CLICK HERE
To Download Books CLICK HERE
To Download Anna University Jan 2018 Question Paper GE8151 CLICK HERE  
To Download  GE8161 Problem Solving and Python Programming Lab Manual CLICK HERE-1 CLICK HERE-2