| INF 385T |
Special Topics in Information Science: Seminar in Propaganda, Deception and Manipulation in the Technology Era |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Product and Project Management |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Concepts and Practices in Information Security |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Introduction to Machine Learning |
This course will cover fundamental concepts in Machine Learning (ML). The course will provide conceptual and practical knowledge on a wide range of modern machine learning algorithms; including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), reinforcement learning & deep learning models (CNN, RNN, Autoencoders & Transformers) and also introduce the importance of Prompt Engineering and Retrieval Augmented Generation. The goal is for students to be comfortable and confident in machine learning concepts and have the ablity to build machine learning model solution to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, this is a great place to start. |
MSIS/PhD |
- Python Programming
- Large Language Models And Its Application
- Machine Learning Packages Like Tensorflow And Scikit-learn
- Classic Machine Learning & Deep Machine Learning Algorithms
- ML Evaluation & Prompt Engineering
- Ethics In AI
|
| INF 385T |
Special Topics in Information Science: Blockchain, Web3, and the Internet Computer |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Natural Language Processing and Applications |
Natural Language Processing (NLP) is concerned with interactions between computers and humans through the medium of human languages. It involves analyzing, understanding, and generating human language, making it possible for machines to interpret and respond to human speech and text. NLP is currently making significant contributions to modern technological advancements and serves as the backbone of crucial applications such as Gen AI, Conversational AI, Question Answering, Human Language Translation, Summarization, Sentiment and Emotion Analysis, Search and Recommendation, and Information Extraction in various domains such as healthcare, finance, legal, libraries and education and beyond. The proposed graduate-level course aims to cover fundamental concepts in Natural Language Processing / Computational Linguistics and how they are used to solve real-world problems. Classes in each week will be divided into two segments: (a) Theory and Methods, a concise description of an NLP concept, and (b) Practicum, a hands-on session on applying the theory to a real-world task on publicly available multilingual text datasets. We will use Python for programming along with popular libraries for text processing such as NLTK, SpaCy and HuggingFace's transformers. By the end of the course, the goals for the students are to: 1. Understand the process of garnering and pre-processing a large amount of multilingual textual data from various domains and sources. Characterize the processes to store, load, pre-process multilingual data and apply language processing operations such as normalization, tokenization, lemmatization, chunking and machine readable representation (vector) extraction. 2. Train machine learning algorithms for natural language understanding and generation and evaluate their performance. 3. Learn to extract information from unstructured text and represent them in the form of knowledge graphs 4. Learn to use existing knowledge graphs, ontologies and lexical knowledge networks for predictive analysis on text 5. Learn about popular NLP applications and tasks and the process of building such applications 6. Propose a novel product/research-focused idea (this will be an iterative process), design and execute experiments, and present the findings and demos to a suitable audience (in this case, the class). |
MSIS/PhD |
- NLP
- Text Mining
- Python Programing For Text Analysis
- Machine Learning For Text Analysis
- Text Processing Techniques
- Text Classification And Generation Models
- Evaluating NLP Systems
- NLP Applications
|
| INF 385T |
Special Topics in Information Science: Deep Learning and Multimodal Systems |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Datafication and Its Consequences |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Web Application Development |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Computer Vision |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: UX Prototyping |
Students will learn to produce prototypes of information artifacts such as websites or apps, usually using Figma. The prototypes will be completed in groups. Students will also keep a sketchbook throughout the semester and will complete sketching exercises. No previous sketching experience is required. Students will learn the difference between lofi and hifi prototypes and complete examples of both. Lectures will describe prototyping in different forms and will also describe activities that support prototyping. |
MSIS/PhD |
- Mood Boards
- story Mapping
- microinteractions
|
| INF 385T |
Special Topics in Information Science: Program Evaluation in Libraries |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Computational Social Science Methods |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Community Engagement in Libraries |
|
MSIS/PhD |
|
| INF 385T |
Special Topics in Information Science: Games in Libraries, Archives, and Museums |
In this class, we will explore different strategies for including games in collections across libraries, archives, and museums using case studies of specific institutions. We will also address unique qualities of digital and board games that make them challenging to existing practice in the field. Students will have hands-on experience with games through the semester. |
MSIS/PhD |
- Gaming
- metadata
- experiential Learning
|
| INF 385T |
Special Topics in Information Science: Designing Physical Information Systems |
|
MSIS/PhD |
|
| INF 385T.01 |
Special Topics in Information Science: Presenting Information |
|
MSIS/PhD |
|
| INF 385T.02 |
Special Topics in Information Science: Visualization |
|
MSIS/PhD |
|
| INF 385T.03 |
Special Topics in Information Science: Human Computation and Crowdsourcing |
|
MSIS/PhD |
|
| INF 385T.09 |
Special Topics in Information Science: Data Wrangling |
Learning key data wrangling maneuvers in abstract and implementations in SQL, Excel, R Tidyverse, and Python Pandas. Maneuvers in data transformations include Nest, Pivot, Mutate (inc. separate/unite), Group/Summarize and Rectangling. Projects include working with "wild caught" data datasets (usually CSV or JSON) and computational notebook environments (e.g., iPython, Jupyter, Rmarkdown, Quarto). Fall 2024 has changes from previous syllabus now that we have Database Design and Introduction to Programming. Nonetheless, the previous syllabus is still useful as it links to course materials that show the teaching approach and type of assignments. http://howisonlab.github.io/datawrangling/#Schedule_of_classes |
MSIS/PhD |
- Working With Data
- data Transformations
- data Analysis
- SQL
- Python Pandas
- R Tidyverse
|
| INF 385T.10 |
Special Topics in Information Science: Interaction Design |
This team-oriented project course will explore several issues surrounding the design and production of usable and elegant interactive experiences. Students will be introduced to topics including the iterative design process, physical and digital prototyping, and user testing. Project work will allow students to demonstrate mastery of the methods discussed in class through the creation and evaluation of screen-based and physical interfaces. Nor formal programming experience is necessary or expected as students are encouraged to leverage existing skills to develop visualizations and prototypes. For projects in the digital domain, experience with Figma, HTML5, Axure, Invision or the like is helpful, but not required. |
MSIS/PhD |
- Research Methods
- User Testing
- Prototyping
- Interaction Design
- Iterative Design Process
|
| INF 385T.12 |
Special Topics in Information Science: Ethics of AI |
Artificial intelligence (AI) is both a product of and a major influence on society. As AI plays an increasingly important role in society, it is critical to understand both the ethical factors that influence the design of AI and the ethical dimensions of the impacts of AI in society. The goal of this course is to prepare students for the important ethical responsibilities that come with developing systems that may have consequential, even life-and-death, consequences. Students first learn about both the history of ethics and the history of AI, to understand the basis for contemporary, global ethical perspectives (including non-Western and feminist perspectives) and the factors that have influenced the design, development, and deployment of AI-based systems. Students then explore the societal dimensions of the ethics and values of AI. Finally, students explore the technical dimensions of the ethics and values of AI, including design considerations such as fairness, accountability, transparency, power, and agency. Students who perform well in this class will be positioned to take on a leadership role within their organizations and will be able to help guide and steer the design, development, and deployment of AI-based systems in ways that benefit users, other stakeholders, their organizations, and society. The knowledge and skill gained through this course will benefit students throughout their careers, and society as a whole will benefit from ensuring that studenrs are prepared to consider the important ethical dimensions of their work. |
MSIS/PhD |
- Artificial Intelligence
- Global Ethical Perspectives
- Technology And Society
- Fairness
- Accountability
- Transparency
|
| INF 385T.13 |
Special Topics in Information Science: Human-AI Interaction |
|
MSIS/PhD |
|
| INF 385V |
Health Informatics |
|
MSIS/PhD |
|
| ISP 386 |
Information Security |
|
ISP/(formerly) MSIMS |
|
| INF 386 |
History of Information and Society: History of Information in the United States |
|
MSIS/PhD |
|
| INF 386E |
Information and Culture: Planning and Understanding Exhibits |
Exhibits are a powerful way for libraries, archives, museums, and cultural institutions to engage the public with their collections. This course offers students the opportunity to plan and install an exhibit, focusing on objectives such as: crafting a narrative around physical objects; drafting exhibit text; accommodating media preservation issues; building basic display supports; and publicizing the exhibit. Students will learn about the historical origins of modern-day exhibit practices and will visit and evaluate current exhibits on campus and in the Austin area. |
MSIS/PhD |
- Write Exhibit Text
- Outreach & Promotion
- Exhibit Design
- Museum Studies
- Museum Education
- Historiography
|
| INF 386E |
Information and Culture: Arts Organizations, Community Engagement, and Policy |
Cross-listing of P A 385D, hosted by the LBJ School of Public Affairs. Examine key topics in the management and leadership of arts and cultural organizations, with particular attention to how arts organizations engage (or fail to engage) external constituencies, and the significance of private and public policies. While commercial forms will be considered for purposes of comparison, our primary focus will be on nonprofit organizations. Examples of topics include mission management, organizational leadership, the role of boards of directors, funding strategies, audience engagement, community engagement and relationships, arts advocacy, and policies that create challenges and opportunities for arts organizations and participation. The class will employ exercises and cases to translate broad themes to practical issues in arts management and community engagement. Guest speakers will periodically join us to share their experiences. Relevant to students planning to work in, with, or through nonprofit arts and cultural organizations. |
MSIS/PhD |
|
| INF 386E |
Information and Culture |
|
MSIS/PhD |
|
| ISP 387 |
Information Management and Repositories |
|
ISP/(formerly) MSIMS |
|
| INF 387 |
Administration |
|
MSIS/PhD |
|
| INF 387.05 |
School Library Management I |
Designed for students pursuing Texas Education Agency (TEA) certification in school librarianship. Examine the philosophy, objectives, and management of the school library with an emphasis on standards and competencies, and the roles of the school librari |
MSIS/PhD |
- State And National Standards for School Librarians And Libraries
- Roles Of Literacy Leader & Program Administrator
- skills Knowledge Competencies
- Skills Knowledge Competencies Required Of School Librarian
- implementing A Culture Of Reading In K-12
- managing A School Library
|
| INF 387.06 |
School Library Management II |
Designed for students pursuing Texas Education Agency (TEA) certification in school librarianship. Examine the philosophy, objectives, standards, and management of the school library with an emphasis on the roles of the school librarian as an instructiona |
MSIS/PhD |
- Teaching And Learning Through the School Library Program
- collaboration
- intellectual Freedom In The School Library
- Role Of Teacher/instuctional Partner
- role Of Collection Developer
- role Of Information Specialist
|
| INF 387C |
Managing Information Organizations |
This course will develop your skills to effectively manage a library, or information organization. We’ll be looking at problems faced by many types of libraries: public, academic, school, special. We’ll examine staffing, budget, collection development, patron behavior, and managing the expectations of users. |
MSIS/PhD |
- Library Management
- Budgeting
- Ranganathan's Five Laws
- Servant Leadership
|
| ISP 388 |
Law Governing Information Security and Privacy |
|
ISP/(formerly) MSIMS |
|
| INF 388E |
Historical Museums: Context and Practice |
|
MSIS/PhD |
|
| ISP 388L |
Professional Experience and Project |
|
ISP/(formerly) MSIMS |
|
| INF 388L |
Professional Experience and Project |
As the culminating experience of the MSIS program, INF 388L allows every student to apply their unique skillsets and learnings to a professional project that is focused on a real-world problem or initiative. The course is designed to support your capstone journey throughout the semester as you work on your project with your project Field Supervisor. As an asynchronous course, students and instructors communicate via Canvas and various discussion prompts. Progress in the course is measured through updates and documents submitted directly to Canvas. During the semester, time is allotted for 1-on-1 meetings between student and instructor, and for small group meetings, as needed. Summary of Course Goals 1. Deliver a professional-level project/solution to showcase your knowledge, skills, and abilities. 2. Take direction and feedback from a supervisor working in your applied field of study. 3. Strengthen communication and presentation skills. 4. Manage expectations around project goals, schedule, and deliverables. |
MSIS/PhD |
- Project Management
- Applied Professional Experience
- Organizational Dynamics
- Managing Deliverables
- Scoping And Planning
- Professional Communication
|
| INF 388R |
Practicum in School Libraries |
Designed for students pursuing Texas Education Agency (TEA) certification in school librarianship. 160 hours of field work in varied school library settings under the supervision of a qualified field supervisor and site supervisor. |
MSIS/PhD |
- Field Work With Site Supervisor
- three Formal Observations
- standards Applied To Field Work
- On the Job Experience
- lesson Planning
|
| INF 188T |
Internship in Libraries and Other Information Agencies |
|
MSIS/PhD |
|
| INF 288T |
Internship in Libraries and Other Information Agencies |
|
MSIS/PhD |
|
| INF 388T |
Internship in Libraries and Other Information Agencies |
|
MSIS/PhD |
|
| ISP 189 |
Individual Studies |
|
ISP/(formerly) MSIMS |
|
| ISP 289 |
Individual Studies |
|
ISP/(formerly) MSIMS |
|
| ISP 389 |
Individual Studies |
|
ISP/(formerly) MSIMS |
|
| INF 389E |
Introduction to Records Management |
Records Management is the “field of management responsible for the efficient and systematic control of the creation, receipt, maintenance, use, and disposition of records…” (ISO 15489). This course introduces the principles and practices involved in managing physical and digital records and information in private and public sector organizations. |
MSIS/PhD |
- Records Management
- Information Governance
|
| INF 389G |
Introduction to Electronic and Digital Records |
|
MSIS/PhD |
|
| INF 389R |
Introduction to Archival Enterprise I |
|
MSIS/PhD |
|
| INF 389S |
Introduction to Archival Enterprise II |
This course will introduce students to contemporary issues in archival studies through readings, research, writing, group discussion, and visits from leaders in the archival studies field. |
MSIS/PhD |
- Archival Studies
- Ethical Perspectives
|
| INF 390N |
Information Policy |
|
MSIS/PhD |
|
