About this Course

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Learner Career Outcomes

42%

started a new career after completing these courses

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got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 17 hours to complete
English

Skills you will gain

Simple AlgorithmPython ProgrammingProblem SolvingComputation

Learner Career Outcomes

42%

started a new career after completing these courses

32%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 17 hours to complete
English

Offered by

Placeholder

University of Pennsylvania

Syllabus - What you will learn from this course

Content RatingThumbs Up85%(2,957 ratings)Info
Week
1

Week 1

3 hours to complete

Pillars of Computational Thinking

3 hours to complete
6 videos (Total 44 min)
6 videos
1.2 Decomposition6m
1.3 Pattern Recognition5m
1.4 Data Representation and Abstraction7m
1.5 Algorithms8m
1.6 Case Studies11m
4 practice exercises
1.2 Decomposition10m
1.3 Pattern Recognition10m
1.4 Data Representation and Abstraction15m
1.5 Algorithms15m
Week
2

Week 2

4 hours to complete

Expressing and Analyzing Algorithms

4 hours to complete
7 videos (Total 69 min)
7 videos
2.2 Linear Search5m
2.3 Algorithmic Complexity8m
2.4 Binary Search11m
2.5 Brute Force Algorithms13m
2.6 Greedy Algorithms9m
2.7 Case Studies12m
6 practice exercises
2.1 Finding the Largest Value10m
2.2 Linear Search10m
2.3 Algorithmic Complexity10m
2.4 Binary Search10m
2.5 Brute Force Algorithms15m
2.6 Greedy Algorithms10m
Week
3

Week 3

4 hours to complete

Fundamental Operations of a Modern Computer

4 hours to complete
6 videos (Total 46 min)
6 videos
3.2 Intro to the von Neumann Architecture8m
3.3 von Neumann Architecture Data6m
3.4 von Neumann Architecture Control Flow5m
3.5 Expressing Algorithms in Pseudocode8m
3.6 Case Studies10m
5 practice exercises
3.1 A History of the Computer10m
3.2 Intro to the von Neumann Architecture10m
3.3 von Neumann Architecture Data10m
3.4 von Neumann Architecture Control Flow10m
3.5 Expressing Algorithms in Pseudocode10m
Week
4

Week 4

7 hours to complete

Applied Computational Thinking Using Python

7 hours to complete
9 videos (Total 91 min), 12 readings, 12 quizzes
9 videos
4.2 Variables13m
4.3 Conditional Statements8m
4.4 Lists7m
4.5 Iteration14m
4.6 Functions10m
4.7 Classes and Objects9m
4.8 Case Studies11m
4.9 Course Conclusion8m
12 readings
Programming on the Coursera Platform10m
Python Playground
Variables Programming Activity20m
Solution to Variables Programming Activity10m
Conditionals Programming Activity20m
Solution to Conditionals Programming Activity10m
Solution to Lists Programming Assignment5m
Solution to Loops Programming Assignment10m
Solution to Functions Programming Assignment10m
Solution to Challenge Programming Assignment10m
Solution to Classes and Objects Programming Assignment10m
Solution to Project Part 410m
12 practice exercises
4.2 Variables10m
4.3 Conditional Statements5m
4.4 Lists10m
Lists Programming Assignment15m
4.5 Iteration10m
Loops Programming Assignment30m
4.6 Functions10m
Functions Programming Assignment20m
(Optional) Challenge Programming Assignment20m
4.7 Classes and Objects10m
Classes and Objects Programming Assignment20m
Project Part 4: Implementing the Solution in Python25m

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