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Students
Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Bachelors
Major
Computer Engineering | Computer Science | Software Engineering
Area of study
Information and Communication Technologies
Course Language
English
About Program

Program Overview


Hope College's Engineering program offers a Computer Concentration that combines 45 engineering credits with 30 cognate credits. The concentration includes courses in computer science, engineering, and math and science, providing students with a strong foundation in computer engineering. The program prepares students for careers in various fields, including computer networking, embedded systems, and signal analysis and communications.

Program Outline

Outline:

The Engineering major at Hope College consists of a minimum of 45 engineering course credits and 30 cognate course credits. The Computer Concentration requires the following courses:

  • Computer Science
  • CSCI 376: Computer Networking
  • Engineering
  • ENGS 242: Electronic Devices and Design
  • ENGS 242L: Electronic Devices and Design Laboratory
  • ENGS 322: Logic Circuit Design
  • ENGS 326: Embedded Systems
  • ENGS 351: Signal Analysis and Communications
  • Math and Science (1 course)
  • BIOL 105: General Biology I
  • BIOL 106: General Biology II
  • BIOL 221: Human Physiology
  • BIOL 231: Biology of Microorganisms
  • CHEM 126: General Chemistry II
  • CHEM 131: Accelerated General Chemistry
  • CHEM 221: Organic Chemistry I
  • CHEM 311: Biochemistry I
  • GES 111: How The Earth Works: An Introduction to Plate Tectonics
  • GES 211: Local Environmental Systems
  • GES 220: Laboratory Methods in Environmental Science
  • KIN 200: Human Anatomy
  • MATH 215: Intermediate Statistics
  • MATH 219: Accelerated Statistical Methods
  • MATH 280: Bridge to Higher Mathematics: An Introduction to Mathematical Proof
  • MATH 331: Real Analysis I
  • MATH 334: Complex Analysis
  • MATH 341: Algebraic Structures I
  • MATH 345: Advanced Linear Algebra
  • MATH 370: Advanced Differential Equations
  • MATH 372: Numerical Analysis
  • PHYS 280: Introduction to Mathematical Physics and Engineering
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