technifyed

University of Michigan via Coursera

Data Structures in C

4.576 ratings at Coursera

Overview

Covering dynamic memory allocation for optimizing memory utilization, Data Structures in C explores ways to handle multiple variables collectively. In this course, you’ll delve into the central concept of pointers for managing the storage and retrieval of memory. Explore and understand structures, a C-specific user-defined data type combining assorted data items.

Syllabus 4

  1. Intro to Pointers 3 hours
  2. Pointers and Arrays 5 hours
  3. Part 1: Structures 4 hours
  4. Part 2: Structures 3.5 hours

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • From University of Michigan, a well-regarded name.
  • Self-paced: start any time.
  • A clear syllabus (4 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Charles Russell SeveranceClinical Professor of Information, School of Information

University of Michigan is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

Similar courses

Compare these

Massachusetts Institute of Technology · YouTube

MIT 6.006 Introduction to Algorithms, Fall 2011

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performa…

Free video47 videos, 42 hours

Massachusetts Institute of Technology · YouTube

MIT 6.006 Introduction to Algorithms, Spring 2020

Instructor: Prof. Erik Demaine, Dr. Jason Ku, Prof. Justin Solomon View the complete course: https://ocw.mit.edu/6-006S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY This course is an introduction to mathematical modeling of computational problems, as…

Free video32 videos, 35 hours

Massachusetts Institute of Technology · YouTube

MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503),

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow;…

Free video23 videos, 30 hours

Massachusetts Institute of Technology · YouTube

MIT 6.01SC Introduction to EECS I

Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…

Free video27 videos, 17 hours

Massachusetts Institute of Technology · YouTube

MIT 6.046J Design and Analysis of Algorithms, Spring 2015

View the complete course: http://ocw.mit.edu/6-046JS15 Instructors: Erik Demaine, Srinivas Devadas, Nancy Ann Lynch 6.046 introduces students to the design of computer algorithms, as well as analysis of sophisticated algorithms. License: Creative Commons BY-NC-SA More information at http://ocw.mit.…

Free video34 videos, 39 hours

Massachusetts Institute of Technology · YouTube

MIT 6.851 Advanced Data Structures, Spring 2012

View the complete course: http://ocw.mit.edu/6-851S12 Instructor: Erik Demaine Videos of 6.851 Lectures Spring 2012 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

Free video22 videos, 30 hours

Enter your email and the official page opens. Phone is optional.