 | | Course ID: | INFO 2000. 3 hours. | | Course Title: | Experiential Data Science Specialization - Foundations | Course
Description: | Provides instruction and insights, on a foundational basis, into Data Science, including mathematics, programming, data management, and computer systems. It also develops the skills to apply theory, skills, and toolkits to real-world applications in different industries. The course provides extensive hands-on experience. | | Athena Title: | Informatics I | | Equivalent Courses: | Not open to students with credit in INFO 2000E | Semester Course
Offered: | Offered every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 2000E. 3 hours. | | Course Title: | Experiential Data Science Specialization - Foundations | Course
Description: | Provides instruction and insights, on a foundational basis, into Data Science, including mathematics, programming, data management, and computer systems. It also develops the skills to apply theory, skills, and toolkits to real-world applications in different industries. The course provides extensive hands-on experience. | | Athena Title: | Informatics I | | Equivalent Courses: | Not open to students with credit in INFO 2000 | | Nontraditional Format: | This course will be taught 95% or more online. | Semester Course
Offered: | Offered every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 3000. 3 hours. | | Course Title: | Experiential Data Science Specialization – Intermediate Level | Course
Description: | Focuses on using advanced data engineering and machine learning techniques like APIs, ETL, and Deep Learning with an emphasis on application development and implementation. Students will also dive into specific domains in the Industry verticals like FinTech, agriculture, manufacturing, and others. | | Athena Title: | Informatics II | | Equivalent Courses: | Not open to students with credit in INFO 3000E | | Prerequisite: | INFO 2000 or INFO 2000E or permission of department | Semester Course
Offered: | Offered every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 3000E. 3 hours. | | Course Title: | Experiential Data Science Specialization – Intermediate Level | Course
Description: | Focuses on using advanced data engineering and machine learning techniques like APIs, ETL, and Deep Learning with an emphasis on application development and implementation. Students will also dive into specific domains in the Industry verticals like FinTech, agriculture, manufacturing, and others. | | Athena Title: | Informatics II | | Equivalent Courses: | Not open to students with credit in INFO 3000 | | Nontraditional Format: | This course will be taught 95% or more online. | | Prerequisite: | INFO 2000 or INFO 2000E or permission of department | Semester Course
Offered: | Offered every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 4000/6000. 3 hours. | | Course Title: | Experiential Data Science Specialization – Advanced Level | Course
Description: | Focuses on cloud computing, platform technologies, and integration of distributed data sources. New technologies like reinforcement learning are introduced in this course. Project work will be focused on innovation topics provided by companies from FinTech, agriculture, manufacturing, and others. | | Athena Title: | Informatics III | | Equivalent Courses: | Not open to students with credit in INFO 4000E or INFO 6000E | | Prerequisite: | INFO 3000 or INFO 3000E | Semester Course
Offered: | Offered every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 4000E/6000E. 3 hours. | | Course Title: | Experiential Data Science Specialization – Advanced Level | Course
Description: | Focuses on cloud computing, platform technologies, and integration of distributed data sources. New technologies like reinforcement learning are introduced in this course. Project work will be focused on innovation topics provided by companies from FinTech, agriculture, manufacturing, and others. | | Athena Title: | Informatics III | | Equivalent Courses: | Not open to students with credit in INFO 4000 or INFO 6000 | | Nontraditional Format: | This course will be taught 95% or more online. | | Prerequisite: | INFO 3000 or INFO 3000E | Semester Course
Offered: | Offered every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 4150E/6150E. 3 hours. | | Course Title: | Engineering Informatics | Course
Description: | Provides instruction and insights into data, theory, and application of machine learning algorithms and skills to apply these algorithms to real-world datasets and applications in Engineering. The course also provides hands-on experience through project work. | | Athena Title: | Engineering Informatics | | Equivalent Courses: | Not open to students with credit in INFO 4150 or INFO 6150 | | Nontraditional Format: | This course will be taught 95% or more online. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 4150/6150. 3 hours. | | Course Title: | Engineering Informatics | Course
Description: | Provides instruction and insights into data, theory, and
application of machine learning algorithms and skills to apply
these algorithms to real world datasets and applications in
Engineering. The course also provides hands-on experience through
project work. | | Athena Title: | Engineering Informatics | | Equivalent Courses: | Not open to students with credit in INFO 4150E or INFO 6150E | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 4160/6160. 3 hours. | | Course Title: | Introduction to Industrial Internet of Things | Course
Description: | Exposes students to and trains them for the digitally transforming
industrial world. This includes application of digital
technologies ranging from cloud computing to AI techniques to
predictive analytics. The theory and practical aspects of
Industrial Internet of Things will also be covered. | | Athena Title: | Industrial Internet of Things | | Prerequisite: | ELEE 2040 or ENGR 1140 or CSCI 1301-1301L | Semester Course
Offered: | Offered spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 4960R. 1-6 hours. Repeatable for maximum 16 hours credit. | | Course Title: | Faculty-Mentored Undergraduate Research I | Course
Description: | Faculty-supervised independent or collaborative inquiry into
fundamental and applied problems within a discipline that requires
students to gather, analyze, synthesize, and interpret data and to
present results in writing and other relevant communication
formats. | | Athena Title: | Undergraduate Research I | | Nontraditional Format: | This course belongs to a progressive research course sequence to
promote a student's increasing skill development and depth of
inquiry, as well as growing independent research capability.
This course requires the close supervision of a faculty member
as the student undertakes a systematic and in-depth inquiry into
unknown, fundamental, and applied problems. In some cases, the
student will work collaboratively as part of a research team.
The student will have to apply understanding of the discipline
to identify or shape research questions and apply skills and
techniques learned to the research project. Students will gather
data, synthesize relevant literature, analyze, and interpret
data. The student will present results in writing or through
participation in research-group or program meetings and meetings
with their faculty mentor. The student will receive feedback
from the faculty mentor on their research progress and written
or oral presentation of results. A minimum of 45 hours of work
per credit hour per semester is required. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 4970R. 1-6 hours. Repeatable for maximum 8 hours credit. | | Course Title: | Faculty-Mentored Undergraduate Research II | Course
Description: | Faculty-supervised independent or collaborative inquiry into
fundamental and applied problems within a discipline that requires
students to gather, analyze, synthesize, and interpret data and to
present results in writing and other relevant communication
formats. | | Athena Title: | Undergraduate Research II | | Nontraditional Format: | These courses belong to a progressive research course sequence
to promote a student's increasing skill development and depth of
inquiry, as well as growing independent research capability. The
courses require the close supervision of a faculty member as the
student undertakes a systematic and in-depth inquiry into
unknown, fundamental, and applied problems. In some cases, the
student will work collaboratively as part of a research team.
The student will have to apply understanding of the discipline
to identify or shape research questions and apply skills and
techniques learned to the research project. Students will gather
data, synthesize relevant literature, analyze, and interpret
data. The student will present results in writing or through
participation in research-group or program meetings and meetings
with their faculty mentor. The student will receive feedback
from the faculty mentor on their research progress and written
or oral presentation of results. A minimum of 45 hours of work
per credit hour per semester is required. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 4980R. 1-6 hours. Repeatable for maximum 8 hours credit. | | Course Title: | Faculty-Mentored Undergraduate Research III | Course
Description: | Faculty-supervised independent or collaborative inquiry into
fundamental and applied problems within a discipline that requires
students to gather, analyze, synthesize, and interpret data and to
present results in writing and other relevant communication
formats. | | Athena Title: | Undergraduate Research III | | Nontraditional Format: | These courses belong to a progressive research course sequence
to promote a student's increasing skill development and depth of
inquiry, as well as growing independent research capability. The
courses require the close supervision of a faculty member as the
student undertakes a systematic and in-depth inquiry into
unknown, fundamental, and applied problems. In some cases, the
student will work collaboratively as part of a research team.
The student will have to apply understanding of the discipline
to identify or shape research questions and apply skills and
techniques learned to the research project. Students will gather
data, synthesize relevant literature, analyze, and interpret
data. The student will present results in writing or through
participation in research-group or program meetings and meetings
with their faculty mentor. The student will receive feedback
from the faculty mentor on their research progress and written
or oral presentation of results. A minimum of 45 hours of work
per credit hour per semester is required. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 4990R. 1-6 hours. Repeatable for maximum 8 hours credit. | | Course Title: | Undergraduate Research Thesis (or Final Project) | Course
Description: | Faculty-supervised independent or collaborative inquiry into
fundamental and applied problems within a discipline that requires
students to gather, analyze, synthesize, and interpret data.
Students will write or produce a thesis or other professional
capstone product, such as a report or portfolio that describes
their systematic and in-depth inquiry. | | Athena Title: | Undergraduate Thesis | | Nontraditional Format: | This is a capstone course under the direct supervision of a
faculty member. This course may be the culmination of the 4960R-
4980R sequence. Students will write a thesis or other
professional capstone product, such as a report or portfolio,
that describes their systematic and in-depth inquiry into an
unknown, fundamental, or applied problem. The thesis or capstone
product is written in close collaboration with the faculty
member and must be approved by that faculty member and/or the
department. The student will apply understanding of the
discipline to identify or shape the research question and apply
skills and techniques learned to complete the research project.
The student will have gathered data, synthesized relevant
literature and materials, analyzed, and interpreted data. The
student will demonstrate in writing the contribution of their
work to the discovery and interpretation of knowledge
significant to their field of study. The student will have
presented results in the form of a properly formatted,
professionally rigorous thesis document or other appropriate
professional capstone product and through the formal
presentation of the thesis or product to faculty and peers
during an approved event. The student will receive feedback from
the faculty member on the overall execution of their thesis
project, the written thesis, and their presentation. | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered fall, spring and summer semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 8000. 3 hours. 2 hours lecture and 2 hours lab per week. | | Course Title: | Foundations of Informatics for Research and Practice | Course
Description: | This interdisciplinary course provides instruction and exposure
to the theory, tools, and techniques that connect data to
information, knowledge, and decisions. Students will gain the
knowledge and skills necessary to deeply engage in the
increasingly interdisciplinary, data-driven, security-focused
industrial and research enterprises as they complete practical
analytical tasks and projects. | | Athena Title: | Informatics Foundations | | Prerequisite: | Permission of major | Semester Course
Offered: | Offered fall and spring semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | ENGR(INFO) 8110. 3 hours. | | Course Title: | Informatics in Engineering and Environmental Sciences | Course
Description: | The philosophical and theoretical basis of informatics, with
applications in civil engineering, environmental engineering,
and the environmental sciences. Readily available software will
be used throughout the course. Specific applications will depend
on the needs of the students in the course. | | Athena Title: | Informatics Engr Environ Sci | Semester Course
Offered: | Offered fall semester every year. | | Grading System: | A-F (Traditional) |
| | | Course ID: | INFO 8750. 3 hours. | | Course Title: | Advance Programming for Data Mining | Course
Description: | Guides students in studying the process of discovering new knowledge from “Big Data” with applications of data retrieval, data processing, data analysis, modeling, and visualization. Students are expected to have previous programming experience and will design new programs which will be utilized in the data mining approaches. | | Athena Title: | Adv Programming Data Mining | | Prerequisite: | Permission of department | Semester Course
Offered: | Offered every year. | | Grading System: | A-F (Traditional) |
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