The Computer Science major at Houghton prepares you for a career as a programmer, a software engineer, an information technology specialist, and so on and equips you to pursue graduate school in a variety of computer-related disciplines.
The Computer Science program includes a balanced mixture of theory and application. Students learn to effectively use the technology of today and create the technology for tomorrow with a thorough understanding of a programming language and structures as well as foundations of computer architecture and networks. Throughout the major, emphasis is placed on the ability to apply understanding of fundamental concepts to solve problems.
Beyond traditional offerings in programming, networking, databases, data structures and algorithms, our major has included some interesting and challenging courses such as Machine Learning, Data Mining, Neural Networks and Computational Biology. Coursework within the major responds to current trends in the field. The newest versions of software are used for teaching, and special courses are offered to introduce new topics.
Why Major in?
- Learn computer science by doing computer science in our research-based, hands-on program
- Develop and hone technical skills through building and updating desktop machines in the science computer lab from raw components
- Spend the summer doing real, cutting-edge research—and get paid for it
- Gain practical experience in Houghton’s Technology Service Office supporting the network infrastructure and addressing computer hardware and software issues
- Work collaboratively with your professors on research projects aimed at solving real-world problems, then publish and present your research at national conferences
- Join 100% of Houghton Computer Science graduates who are employed or attending graduate school within one year of graduation
- Develop close mentoring relationships with Christian faculty members who care about your academic, emotional and spiritual growth
Our Computer Science program allows professors and students to develop close working relationships as we strive together toward the goal of academic excellence and spiritual growth. The student offices are right next to the professors' offices. After the formal classes end, we spend our afternoons working together at the office chalkboards, discussing research problems and encouraging one another.
Undergraduate Research in Computer Science
A prominent feature of our program is extensive collaborative research between faculty and students, which is offered in various ways including summer research, Honors projects and computer science courses.
Students are actively involved in the whole research process, from reading papers in a particular area and formulating problems to solve to implementing the solutions in various computer languages and, finally, writing a scientific paper to publish. Fourteen papers by our students have been published in different peer-reviewed journals. These papers cover a wide array of topics including siRNA prediction, chemosensitivity, HIV, lung cancer, influenza, computer network security and social networks. Such opportunities can be significant in choosing career direction and getting internships or jobs.
Students who excel in the standard computer science curriculum are frequently encouraged to take part in an honors project, an extended, multi-semester study that culminates in the production and defense of a final thesis. Some recent project examples include:
- The Impact of Twitter Sentiment on Stock Price
- Condon Bias of Influenza Viruses
- Identification of a Novel Gene Signature for Lung Cancer
- Clustering HIV-1 Sequences using the Ant Colony Algorithm
- Support Vector Machines for Optimizing Multiclass Image Classification Training Time
- Quantum Reinforcement Learning
Summer Research Institute
Each summer, a group of Computer Science students and faculty participate in the Houghton College’s Summer Research Institute. Students in the sciences work closely with faculty mentors on research projects in a variety of topics for a period of five weeks before giving a presentation of their findings. Some recent project examples include:
- Characteristic Sites in the Internal Proteins of Avian and Human Influenza Viruses
- Anomalous Network Packet Detection Using Data Stream Mining
- Twitter Spammer Detection Using Data Stream Clustering
- Community Detection in Dynamic Social Networks
My time at Houghton provided a broader perspective, which is particularly valuable in working to solve problems from a variety of disciplines. A Christian perspective also provides valuable guidance on the direction of data science projects.
Brian Dickinson '15
Doctoral candidate and graduate research assistant at the University of Rochester
Careers and outcomes of Houghton Computer Science majorsLearn More
Summer Research Institute
An innovative opportunity for students and faculty to collaborate on research projects over the summerLearn More
Tackle a scientific question of real-world significance in this innovative, research-driven programLearn More