Curriculum – Bachelor of Science in Information Science at Shady Grove (InfoSci)

Junior Year – Fall

• INST 301 Introduction to Information Science:
  In this course, you will examine the effects of new information technologies on how we conduct business, interact with friends, and go through our daily lives.
• INST 311 Information Organization:
  You will study methods and strategies for developing systems for storage, organization, and retrieval of information in a variety of organizational and institutional settings.
• INST 314 Statistics for Information Science:
  Students will select and evaluate various types of data to use in decision-making, and use statistical analyses to reach defensible data-driven-conclusions and decisions.
• INST 326 Object-Oriented Programming for Information Science:
  This course will encompass various aspects of object-oriented programming, including program design, testing, and implementation, as well as computational thinking approaches such as abstraction, decomposition, algorithmic design, and generalization.
• INST 335 Teams and Organizations:
  Team development and leadership principles and methods are covered with an emphasis on goal setting, motivation, problem solving, and conflict resolution

Junior Year – Spring

• INST 327 Database Design and Modeling:
  Students will learn the principles of relational databases, and how to design and administer them in languages such as SQL.
• INST 352 Information User Needs and Assessment:
  Students will learn principles of information use, information behavior, and mental models of information retrieval as well as methods for determining information behavior and user needs.
• INST 354 Decision-Making for Information Science:
  Students study the use of information in decision-making, including the roles of information professionals and information systems including the study of human decision-making behavior.
• INST 362 User-Centered Design:
  In this course, you will learn how human-computer interaction (HCI) connects psychology, information systems, computer science, and human factors. You will study and apply major user experience research methods, such as user interviews, surveys, contextual analysis, etc.
• INST 462 Introduction to Data Visualization:
  Simple tests of statistical hypotheses; applications to before-and-after and matched pair studies. Events, probability, combinations, independence. Binomial probabilities, confidence limits.

Senior Year – Fall

• NST 377 Dynamic Web Applications:
  This course is an exploration of methods and tools for developing dynamic, database-driven web sites, including acquiring, installing, and running web servers, database servers, and script interpreters.
• INST 346 Technologies, Infrastructures, and Architecture:
  Students will examine concepts of computer networking, including network topologies, architectures, and protocols as well as information architecture, security, and authentication.
• Professional Writing
  General education requirement.
• Free Elective
• Free Elective

Senior Year – Spring

• INST 414 Advanced Data Science:
  An exploration of current and effective approaches to getting answers from data; students will study clustering, classification, and regression techniques.
• INST 447 Data Sources and Manipulation:
  Students will study theoretical and practical aspects of data acquisition, collection, preparation, management, storage, retrieval, and analysis.
• INST 490 Integrative Capstone:
  This is a project-based course, where you will focus on solving real-world problems by applying skills and perspectives you learned in the InfoSci program.
• Free Elective
• Free Elective