Informatics

Description
The concentration in informatics teaches students to use computer technology to gather, synthesize, store, visualize and interpret information. These skills are critical to a broad range of disciplines. This concentration area will provide students with an understanding of the capabilities and technologies of informatics as it applies to domain specific problems in their field of study. Students completing this concentration area will be able to understand and use methods for the basic computational principles behind the operation of::

communication, networking and interaction
decision making and problem solving
modeling, inference and visualization
representing, creating and running routine activities
storing, indexing and retrieving information

Graduates should be in high demand within the software industry, but also in government, education, science, medicine, and other fields that make use of computer technology. The applied and user-oriented focus of the degree will make these graduates attractive to such employers. 

**Please note that some of the required classes below may require additional prerequisites that will need to be completed. No prerequisite overrides will be issued for Informatics core courses.

Requirements

• This concentration has the following prerequisites: CSE 205, MAT 242 AND MAT 243 completed with a "C" or better prior to declaring.
• Students must complete a minimum of 21 credit hours including 12 of upper division hours for this concentration.
• At least 12 credit hours must be completed in residency at ASU.
• All courses must be completed with a grade of “C” (2.00) or higher.
• For more information on the Informatics concentration, students can make an appointment with an advisor by calling the CIDSE Advising Center at 480-965-3199, sending an email to CIDSE.advising@asu.edu or by visiting cidse.engineering.asu.edu/
• * Please consult a CIDSE advisor about alternate statistics courses.
• Certain departments may offer courses which could satisfy the elective requirement. Please consult with a CIDSE advisor for approvals.
• Enrollment in CPI 484, CPI 494 or CSE 394 requires students to speak with an Informatics advisor for approval prior to enrollment.

Required Courses --15 credit hours:

CPI 101 Introduction to Informatics

CPI 200 Mathematical Foundations of Informatics

CPI 220  Applied Data Structures and Algorithms OR CSE 310 Data Structures and Algorithms 

   Notes: CPI 220 is only offered in Fall semesters

CPI 350 Evaluation of Informatics Systems

IEE 380 Probability and Statistics for Engineering Problem Solving OR STP 420 Introductory Applied Statistics

Electives Courses -- 6 credit hours:

• See a CIDSE advisor if you would like to have another upper division course considered as an Informatics elective, such as: CPI 484, CPI 494, CSE 394
• CIDSE advisor approval required for CPI 484, CPI 494, and CSE 394

 AME 394 Philosophies of Technology 

ART 345 Visualization and Prototyping

ART 346 3-D Computer Imaging and Animation 

ART 435 Foundry Research Methods

BIO 355 Introduction to Computational Molecular Biology

BIO 411 Quantitative Methods in Conservation and Ecology

BMI 102 Introduction to Public Health Informatics

BMI 201 Introduction to Clinical Informatics 

CIS 300 Web Design and Development

CIS 308 Advanced Excel in Business

CIS 310 Business Data Visualization

CIS 405 Business Intelligence

CIS 407 Business Database Systems Development

CPI 310 Web-Based Information Management Systems

CPI 360 Decision Making and Problem Solving

CPI 394 Game Design Fundamentals 

CPI 394  Special Topics 

CPI 441 Gaming Capstone 

CPI 460 Intelligent Interactive Instructional Systems

CPI 484 Internship

     Notes: with advisor approval

CPI 494 Special Topics (1-4) 

     Notes: with advisor approval

CSE 220 Programming for Computer Engineering 

CSE 240 Introduction to Programming Languages 

CSE 259 Logic in Computer Science 

CSE 294 Special Topic: Algorithmic Problem Solving

CSE 310 Data Structures and Algorithms 

CSE 335 Principles of Mobile Application Development  

CSE 340 Principles of Programming Languages 

CSE 355 Introduction to Theoretical Computer Science 

CSE 360 Introduction to Software Engineering 

CSE 365 Information Assurance 

CSE 394 Special Topics 

Notes: with advisor approval

CSE 408 Multimedia Information Systems 

CSE 412 Database Management 

CSE 445 Distributed Software Development 

CSE 446 Software Integration and Engineering 

CSE 450 Design and Analysis of Algorithms 

CSE 460 Software Analysis and Design 

CSE 464 Software Quality Assurance and Testing 

CSE 467 Data and Information Security 

CSE 470 Computer Graphics 

CSE 471 Introduction to Artificial Intelligence 

CSE 475  Foundations of Machine Learning 

CSE 476 Introduction to Natural Language Processing 

CSE 477 Introduction to Computer-Aided Geometric Design 

DAT 250 Data Science and Society 

DAT 300 Mathematical Tools for Data Science

DAT 301 Exploring Data in R and Python 

DAT 401 Statistical Modeling and Inference for Data Science 

DAT 402 Machine Learning for Data Science

EDT 440 Creating and Marketing Mobile Apps 

ENG 374 Technical Editing

FMS 365 Video Games and Narrative

FSE 301 Entrepreneurship and Value Creation 

FSE 404 EPICS Gold: EPICS in Action

GIT 135 Graphic Communications 

GIT 215 Introduction to Web Authoring 

GIT 230 Digital Illustration in Publishing 

GIT 335 Computer Systems Technology 

GIT 340 Information Design and Usability

GRA 294 Special Topics: InDesign

GRA 294 Special Topics: Photoshop

HSE 101 Introduction to Human Systems Engineering

IEE 380  Probability and Statistics for Engineering Problem Solving

MAT 267 Calculus for Engineers III 

MAT 275 Modern Differential Equations 

MAT 300 Mathematical Structures 

MAT 421 Applied Computational Methods 

SER 216 Software Enterprise: Personal Process and Quality 

SER 334 Operating Systems and System Programming

SOC 334 Technology and Society

SOS 424 Dynamic Modeling in Social and Ecological Systems 

STS 304 Science, Technology, and Society

STS 306 Social Effects of Science and Technology

TEL 313 Technology in an Educational Setting

TWC 414 Visualizing Data and Information

TWC 444 User Experience 

 

Advisor Approval: CPI 484, CPI 494, CSE 394