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  • Kenneth Blaha https://www.plu.edu/computer-science/staff/kenneth-blaha/

    Kenneth Blaha Professor of Computer Science he/him/his Phone: 253-535-8702 Email: blahakd@plu.edu Status:Phased Retirement Website: https://cs.plu.edu/~blahakd/ Professional Education Ph.D., University of Oregon, 1989 M.S., Computer Science, University of Oregon, 1984 M.S., Mathematics, University of Oregon, 1981 B.A., University of Minnesota, Morris, 1978 Areas of Emphasis or Expertise Computational Complexity Algebraic Algorithms Computer Science Education

    Contact Information
    253-535-8702
    Area of Emphasis/Expertise
    Computational Complexity
    Algebraic Algorithms
    Computer Science Education

  • Course Descriptions https://www.plu.edu/math/informal-course-descriptions/

    , graphing and the solving of triangles. Appropriate as preparation for Math 123, 128 and 140. Prerequisite: PLU math placement exam and two years of high school algebra. (4) MATH 123 : Modern Elementary Mathematics I: Number Sense and Algebraic Sense - QR Numeration systems and concepts underlying traditional computations. Field axioms, number theory, set theory. Patterns and variables, functions, proportionality, linear versus exponential growth. Emphasis on conceptual understanding of mathematics

  • Quantitative Reasoning (QR) https://www.plu.edu/catalog-2023-2024/general-education/course-fulfillment/quantitative-reasoning/

    Course Title CSCI 115 Solve It With the Computer - QR CSCI 120 Computerized Information Systems - QR CSCI 144 Introduction to Computer Science - QR MATH 105 Mathematics of Personal Finance - QR MATH 107 Mathematical Explorations - QR MATH 115 College Algebra and Trigonometry - QR MATH 123 Modern Elementary Mathematics I: Number Sense and Algebraic Sense - QR MATH 124 Modern Elementary Mathematics II: Measurement, Geometric Sense, Statistics and Probability - QR MATH 128 Linear Models and

  • George Hauser https://www.plu.edu/computer-science/staff/george-hauser/

    George Hauser Professor Emeritus of Computer Science Phone: 253-535-8731 Email: hausergj@plu.edu Office Location:Morken Center for Learning & Technology Office Hours: Mon - Fri: By Appointment Professional Education Ph.D., University of Rochester, 1988 M.S., University of Oregon, 1980 B.S., Computer Science, Washington State University, 1972 B.S., Physics, Washington State University, 1971 Areas of Emphasis or Expertise Parallel Algorithms Computational Complexity Computer Communication

    Contact Information
    253-535-8731
    Office Hours
    Mon - Fri: -
    Area of Emphasis/Expertise
    Parallel Algorithms
    Computational Complexity
    Computer Communication
    Theoretical Computer Science
    Object-Oriented Programming

  • Course Descriptions https://www.plu.edu/math/course-descriptions/

    , identities, graphing and solution of triangle. Appropriate as preparation for Math 123, 128 and 140. Prerequisite: PLU math placement exam and two years of high school algebra. (4) MATH 123 : Modern Elementary Mathematics I: Number Sense and Algebraic Sense - MR, NS Numeration systems and concepts underlying traditional computations. Field axioms, number theory, set theory. Patterns and variables, functions, proportionality, linear versus exponential growth. Emphasis on conceptual understanding of

  • 2018 Awards https://www.plu.edu/scifair/awards/2018-awards/

    Infarction Prediction and Detection System Using AI Based GAN Algorithms 4th Place: Nuria Chandra, Capital HS: Isolation and Characterization of an E. faecalis Bacteriophage for Dental Caries Treatment 9-12 Category Awards 9-12 Specialty Awards 6-8 Grade Level Awards 6-8 Specialty Awards K-5 Grade Level Awards K-5 Specialty Awards

  • Minor Requirements https://www.plu.edu/stem-education/minor-requirements/

    following courses: DATA 133: Introduction to Data Science I (4) CSCI 144: Introduction to Computer Science (4) MATH 123: Modern Elementary Mathematics I: Number Sense and Algebraic Sense (4) MATH 145: Statistics for Biologists (4) MATH 151: Calculus I (4) MATH 152: Calculus II (4) MATH 242: Introduction to Mathematical Statistics (4) MATH 321: Geometry (4) MATH/EDUC 446: Mathematics in the Secondary School (4)

  • 2016 Awards https://www.plu.edu/scifair/awards/2016-awards/

    Health: Early Detection, Monitoring, and Control of Parkinsonian Tremor 3rd Place: Nitya Krishna Kumar, Olympia HS and Veenadhari Kollipara, Interlake HS: Towards Next Generation Cancer Treatment Modality: In-vivo dosimetry studies of Boron Neutron Capture Therapy using protist models 4th Place: Abhinav Gundrala, Olympia HS: Efficiently Diagnosing Heart Arrhythmia Using Machine Learning Algorithms Please click on the links below for other award winners: 9-12 Category Awards 9-12 Specialty Awards 6-8

  • Capstone Symposium 2021 https://www.plu.edu/math/capstone-symposium/capstone-symposium-2021/

    , credit cards, insurance products, the list goes on and on. The effects of compound interest can be slow but it has a cumulative way of growing significantly and it can be intriguing how that works. What is happening can be simple, but when we dig deeper into the theory of compound interest and its applications, it can delve into the realm of calculus, where we use integration, geometric series and heavy algebraic manipulation. Compound interest plays a role in the time value of money, and calculating

  • Computer Science https://www.plu.edu/catalog-2023-2024/undergraduate-program/program-curriculum-information/computer-science/

    , biology). Ethical and social dilemmas posed by AI will be considered. Prerequisite: CSCI 270. (4) CSCI 340 : Formal Languages Study of formal models of computation (finite automata, pushdown automata, and Turing machines). Study of formal language concepts, such as regular expressions and grammars. There will be a significant programming component where students implement and test algorithms. Prerequisite: CSCI 270. (4) CSCI 343 : Programming Language Concepts A study of the fundamental concepts of