Psychology

For sophomores, juniors, and seniors: In this cohort of The Data Mine, students will gain expertise in advanced statistical and analytical techniques and research methods directly related to their field of study in the psychological sciences. Courses will offer hands-on research experiences directed by faculty members. Students will be expected to develop a research project plan, relate the objectives of the project to research literature, execute the project plan and communicate the results of their project.

For first-year students: This Data Mine learning community introduces students to big data and research methods in the psychological sciences. Students will be introduced to all areas of research conducted in psychological sciences through direct interactions with multiple faculty in the department. Students will then become directly involved in faculty research labs during the spring semester.

Preferred major in Psychological Sciences or Brain and Behavioral Sciences.

• For sophomores, juniors, and seniors: students must have completed an introductory statistics course that meets prerequisites for the advanced course they will enroll in.
• For first-year students or transfers: preference for students who have not taken PSY 120000, PSY 20100, PSY 24000 or PSY 20300.

• Students from this learning community must reside in Hillenbrand Hall
• Students who are required to reside in a different residence hall (e.g., due to the Honors College or athletics participation), or who do not sign a housing contract, may not participate in The Data Mine
• Your roommate (in most cases) will be a member of The Data Mine
• It is necessary to complete a housing contract, to participate in The Data Mine. (Completing a housing contract is a separate process from applying for a learning community.)

Fall and Spring semesters

The information below is subject to change. If you are placed in The Data Mine, the associated courses will be placed on your schedule (by Learning Communities and the Registrar's Office) prior to you registering for the rest of your courses.

Fall

• PSY 20300 (3 credits; section 001: CRN 27721 lecture; and 0 credits; section 007: CRN 13797 lab) Introduction To Research Methods In Psychology
• PSY 39200 (3 credits; section 006: CRN 19202) Data Mining
• STAT 19000, 29000, 39000, or 49000 (1 credit; 5 sections available) The Data Mine I or III or V or VII

Spring

• 3-6 additional PSY credit hours, depending on concentration and classification. The specific courses will be discussed between the faculty mentor, academic advisor, and the student.
• STAT 19000, 29000, 39000, or 49000 (1 credit; 4 sections available) The Data Mine II or IV or VI or VIII

The information below is subject to change. If you are placed in The Data Mine, the associated courses will be placed on your schedule (by Learning Communities and the Registrar's Office) prior to you registering for the rest of your courses.

Fall

• PSY 12000 (3 credits; section 030: CRN 10049 recitation; and 0 credits; section 038: CRN 10062 distance learning) Elementary Psychology
• STAT 19000 (1 credit; 5 sections available) The Data Mine I

Spring

• PSY 20100 (3 credits; section 002: CRN 26386) Introduction To Statistics In Psychology
• STAT 19000 (1 credit; 4 sections available) The Data Mine II

• Weekly dinners with Data Mine participants
• Faculty and graduate student office hours onsite in Hillenbrand
• Seminars by visiting speakers, including practicing data scientists
• Social gatherings with Data Mine members
• Meals with campus and community leaders
• Game / recreation nights
• Career and graduate school panels
• Hackathons / data competitions
• Professional development activities
• Tour of Purdue's computational facilities