Computational Thinking for Problem Solving
Learn to approach problems systematically with the help of computational thinking skills gained from the Computational Thinking for Problem Solving online cours
Beginner
Online
2 Weeks
Free Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Computational Thinking for Problem Solving is a beginner-level course administered by the University of Pennsylvania. The online programme will provide the learners with a deep insight into computational thinking which is used to deal with a problem in a systematic manner and come up with solutions that could be initiated by a computer. Computational Thinking for Problem Solving Certification Syllabus will guide the learners on computation thinking, the development and analysis of algorithms etc that will enable the students to approach the problems from the perspective of computer scientists.
Offered by Coursera, the Computational Thinking for Problem Solving Certification Course is a programme targeted at beginner-level audiences that could be completed within 2 weeks. Computational Thinking for Problem Solving Certification by Coursera is developed by Susan Davidson who is the Weiss Professor at the University of Pennsylvania.
The Highlights
- Provided by Coursera
- Approximately 17 hours of programme
- Offered by the University of Pennsylvania
- Flexible Deadlines
- Self-Paced Learning Option
- Shareable Certificate
- Financial Aid Available
- Beginner level course
- 100% Online Course
Programme Offerings
- English Videos
- practice quizzes
- Graded Assignments with peer feedback
- graded Quizzes with feedback
- Graded Programming Assignments
- Course Videos & Readings
- EMI payment options
- 14 day refund period
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2421 | yes | Coursera |
The Computational Thinking for Problem Solving Certification Fee will vary depending on how months the learners want to learn the programme. The fee structure is tabulated below:
Course Name | Amount in INR |
Computational Thinking for Problem Solving | Rs. 2,421 |
Eligibility Criteria
Certification Qualifying Details
The Computational Thinking for Problem Solving Certification will be conferred to the students only if they complete the course proceedings successfully by covering the course readings, videos, assignments and quizzes and paying the Coursera-specified fee.
What you will learn
After the completion of the Computational Thinking for Problem Solving Training, the students will be able to make a thorough understanding of the following:
- Simple Algorithm
- Python Programming
- Problem-Solving
- Computation
Who it is for
Computational Thinking for Problem Solving Classes can be pursued by the professionals such as
- Python Programmer
- Computer Scientist
- Programmer
Admission Details
Step 1 - At first, register and sign in on https://www.coursera.org/
Step 2 - Then, find the course ‘Computational Thinking for Problem Solving’ offered by the University of Pennsylvania will appear on the screen.
Step 3 - Kickstart the course by entering the option ‘Enrol’.
The Syllabus
Videos
- Introduction
- Decomposition
- Pattern Recognition
- Data Representation and Abstraction
- Algorithms
- Case Studies
Practical exercise
- Decomposition
- Pattern Recognition
- Data Representation and Abstraction
- Algorithms
Videos
- Finding the Largest Value
- Linear Search
- Algorithmic Complexity
- Binary Search
- Brute Force Algorithms
- Greedy Algorithms
- Case Studies
Practical exercise
- Finding the Largest Value
- Linear Search
- Algorithmic Complexity
- Binary Search1
- Brute Force Algorithms
- Greedy Algorithms
Videos
- A History of the Computer
- Intro to the von Neumann Architecture
- von Neumann Architecture Data
- von Neumann Architecture Control Flow
- Expressing Algorithms in Pseudocode
- Case Studies
Practical exercise
- A History of the Computer
- Intro to the von Neumann Architecture
- von Neumann Architecture Data
- von Neumann Architecture Control Flow
- Expressing Algorithms in Pseudocode
Videos
- Introduction to Python
- Variables
- Conditional Statements
- Lists
- Iteration
- Functions
- Classes and Objects
- Case Studies
- Course Conclusion
Readings
- Programming on the Coursera Platform
- Python Playground
- Variables Programming Activity
- Solution to Variables Programming Activity
- Conditionals Programming Activity
- Solution to Conditionals Programming Activity
- Solution to Lists Programming Assignment
- Solution to Loops Programming Assignment
- Solution to Functions Programming Assignment
- Solution to Challenge Programming Assignment
- Solution to Classes and Objects Programming Assignment
- Solution to Project Part 4
Practical exercise
- Variables
- Conditional Statements
- Lists
- Programming Assignment
- Iteration
- Loops Programming Assignment
- Functions
- Functions Programming Assignment
- (Optional) Challenge Programming Assignment
- Classes and Objects
- Classes and Objects Programming Assignment
- Project Part 4: Implementing the Solution in Python
Instructors
Penn Frequently Asked Questions (FAQ's)
The University of Pennsylvania is offering the programme.
The course is instructed by Susan Davidson who is the Weiss Professor at Computer & Information Science.
Yes, the subtitle is available in the languages of Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, and Spanish.
Yes, the students can make the payment of the course fee in installments.
No, Coursera does not provide job assistance.