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Simulation, Algorithm Analysis, and Pointers
Coursera
Course
Unknown

Simulation, Algorithm Analysis, and Pointers

University of Colorado System

Final course covering computational thinking and beginner C programming, focusing on algorithms, simulation, analysis, and advanced file input techniques.

Unknown4 weeksEnglish5,315 enrolled

About this Course

This course is the fourth and final course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Most people have a better understanding of what beginning C programming means! This course assumes you have the prerequisite knowledge from the previous three courses in the specialization. You should make sure you have that knowledge, either by taking those previous courses or from personal experience, before tackling this course. The required prerequisite knowledge is listed below. Prerequisite computational thinking knowledge: Algorithms and procedures; data collection, analysis, and representation; abstraction; and problem decomposition Prerequisite C knowledge: Data types, variables, constants; STEM computations; selection; iteration (looping); arrays; strings; and functions Throughout this course the computational thinking topics you'll explore are: automation, simulation, parallelization, and algorithm analysis.For the programming topics, you'll continue building on your C knowledge by implementing file input and output in your programs and by exploring pointers in more depth. Module 1: Learn how to read, write, and append to files. Explore automation Module 2: Discover the benefits of simulation and parallelization Module 3: Learn how to perform algorithm analysis to quantify algorithm complexity Module 4: Explore how to use pointers in more depth

What You'll Learn

  • Understand algorithms and computational thinking principles
  • Apply procedures for data collection and analysis
  • Use abstraction and representation in problem solving
  • Decompose programming problems into smaller parts
  • Enhance C programming skills with data types, loops, and arrays
  • Perform algorithm analysis and simulation techniques

Prerequisites

  • Basic computer and internet skills
  • Ability to read English instructions and complete short practice activities

Instructors

D

Dr. Tim "Dr. T" Chamillard

Associate Professor

Topics

Software Development
Computer Science
Simulations
Theoretical Computer Science
Computational Thinking
Algorithms
Automation
Debugging
File I/O
C (Programming Language)

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تطوير البرمجيات
علوم الحاسوب
المحاكاة
نظرية الحاسوب
التفكير الحاسوبي
الخوارزميات
الأتمتة
تصحيح الأخطاء
File I/O
C (Programming Language)

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