Events

The Lundquist College of Business is an active and vibrant community.

Our programs, departments, centers, clubs, and units host many events throughout the year that welcome guest speakers, support career development, provide networking opportunities, showcase employers, and provide information about applying to our degree programs.

You can view upcoming events from across the college below and explore more on the UO Event Calendar. Students, faculty, and staff with a uoregon.edu email address are also encourage to sign into the UO calendar to submit events to our calendar by tagging them "Lundquist College of Business" in the department field.


Upcoming Events

Jul 27
UO Alumni Night at the Eugene Emeralds 5:05 p.m.

Join the Lane County Ducks at PK Park for UO Alumni Night with the Eugene Emeralds! The Lane County Ducks alumni chapter and the Emeralds are teaming up to raise...
UO Alumni Night at the Eugene Emeralds
July 27
5:05 p.m.
PK Park

Join the Lane County Ducks at PK Park for UO Alumni Night with the Eugene Emeralds! The Lane County Ducks alumni chapter and the Emeralds are teaming up to raise scholarship funds for current and future students from Lane County attending the University of Oregon. The Ems will donate $6 of every ticket sale through our special link to the Lane County Ducks Academic Scholarship Fund! Bring your family, friends, fellow Ducks—anyone who’s interested in kicking back and having a fun night out cheering on the Ems at the ballpark. There will be fellow Ducks, a fun atmosphere, and of course, baseball!

An added bonus this year, our fundraiser falls on Harry Potter Night at the ballpark, which includes an exclusive giveaway item: a Hogwarts-themed House Cap to the first 1,000 fans through the gates. 

The Lane County Ducks will have an information table on the concourse for anyone interested in learning more about the chapter. (Or for anyone who just wants to stop by and say hello!)  

Tickets

$12 per ticket through our special ticket link by noon, Saturday, July 27.

$6 of every ticket sale is donated to the Lane County Ducks Scholarship Fund which supports students from Lane County attending the University of Oregon.

Jul 30
University of Oregon Night at the San Francisco Giants 6:45 a.m.

Prepare for a night of Ducks pride as we host our inaugural University of Oregon Night at the San Francisco Giants. Join UO students, alumni, faculty, and fans by bringing the...
University of Oregon Night at the San Francisco Giants
July 30
6:45 a.m.
Oracle Park

Prepare for a night of Ducks pride as we host our inaugural University of Oregon Night at the San Francisco Giants. Join UO students, alumni, faculty, and fans by bringing the energy of Autzen Stadium to Oracle Park. A portion of the proceeds from each special event ticket will benefit scholarships for students from northern California studying at the University of Oregon. Go Ducks!

Tickets: $34. Buy your tickets by Sunday, June 30.

Ticket purchases include:

Game Ticket: San Francisco Giants vs. Oakland A’s surrounded by fellow Ducks! Event Item: Giants/University of Oregon Co-Branded Beanie
Jul 30
Learning Stats with R noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for...
Learning Stats with R
June 25–September 10
noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for beginners and insightful for seasoned learners. Perfect for anyone looking to enhance their statistical skills and data analysis expertise!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. A free online version of the book can be found here. The book club will meet every Tuesday from noon to 1:30 in room B020 in Price Science Commons, from June 25 to September 10. Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 25: Background (Ch. 1 & 2: Why learn stats? & research design) July 2: An Introduction to R (Ch. 3 & 4: Getting started & R concepts) July 9: Working with Data (Ch. 5 & 6: Descriptive stats & drawing graphs) July 16: Working with Data (Ch. 7 & 8: working with data & basic programming) July 23: Introduction to Probability (Ch. 9) July 30: Estimating unknown quantities (Ch. 10) August 6: Hypothesis testing (Ch. 11) August 13: Categorical Data Analysis (Ch. 12) August 20: Comparing two means (Ch. 13: z-test and t-test) August 27: Comparing Several Means (Ch. 14: once-way ANOVA) September 3: Linear Regression (Ch. 15) September 10: Factorial ANOVA (Ch. 16), Bayesian stats as time allows
Jul 31
Sports Product Management Program Paris Olympics Meetup 4:00 p.m.

Sports Product Management alumni, industry friends, and the wider University of Oregon community are invited to connect with program cofounder and executive director Ellen...
Sports Product Management Program Paris Olympics Meetup
July 31
4:00–6:00 p.m.
Team USA House

Sports Product Management alumni, industry friends, and the wider University of Oregon community are invited to connect with program cofounder and executive director Ellen Schmidt-Devlin at the 2024 Paris Olympics.

Please contact Krystina Jensen with any questions. This event is free to attend and open to the SPM community.

We look forward to connecting and celebrating the University of Oregon community and partners during this event!

Please note: This event takes place Wednesday, July 31 from 4:00–6:30 p.m. in the CEST (central European summer time) time zone, UTC+2 (7:00 a.m.–9:00 a.m. U.S. PDT, UTC-7). Please plan accordingly.

Aug 1
R for Data Science noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation,...
R for Data Science
June 27–September 12
noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation, visualization, and modeling using R. You can find a free online version of the book here. Perfect for beginners and experienced users alike, it will transform the way you handle data!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. The book club will meet every Thursday from noon to 1:30 p.m. in room B020 in Price Science Commons, from June 27 to September 12 (except July 4!). Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 27 & July 11: Whole Game (workflows, data importing, tidying & transformation, getting help) July 18 & 25: Visualize (layers, exploratory data analysis, communication) August 1 & 8: Transform (vectors, numbers, strings, expressions, factors, dates, missing values, joins) August 15 & 22: Import (spreadsheets, databases, arrow, web scraping, hierarchical data) August 29 & September 5: Program (functions, iteration, base R) September 12: Communicate (Quarto)
Aug 6
Learning Stats with R noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for...
Learning Stats with R
June 25–September 10
noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for beginners and insightful for seasoned learners. Perfect for anyone looking to enhance their statistical skills and data analysis expertise!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. A free online version of the book can be found here. The book club will meet every Tuesday from noon to 1:30 in room B020 in Price Science Commons, from June 25 to September 10. Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 25: Background (Ch. 1 & 2: Why learn stats? & research design) July 2: An Introduction to R (Ch. 3 & 4: Getting started & R concepts) July 9: Working with Data (Ch. 5 & 6: Descriptive stats & drawing graphs) July 16: Working with Data (Ch. 7 & 8: working with data & basic programming) July 23: Introduction to Probability (Ch. 9) July 30: Estimating unknown quantities (Ch. 10) August 6: Hypothesis testing (Ch. 11) August 13: Categorical Data Analysis (Ch. 12) August 20: Comparing two means (Ch. 13: z-test and t-test) August 27: Comparing Several Means (Ch. 14: once-way ANOVA) September 3: Linear Regression (Ch. 15) September 10: Factorial ANOVA (Ch. 16), Bayesian stats as time allows
Aug 6
Oregon MBA Information Session 4:00 p.m.

Join our Oregon MBA admissions team to learn what it is that makes the Oregon MBA program unique. We will discuss the different ways you can earn your MBA, degree specializations,...
Oregon MBA Information Session
August 6
4:00–4:30 p.m.

Join our Oregon MBA admissions team to learn what it is that makes the Oregon MBA program unique. We will discuss the different ways you can earn your MBA, degree specializations, the college's four centers of excellence, hands-on learning opportunities, and application tips.

Aug 8
R for Data Science noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation,...
R for Data Science
June 27–September 12
noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation, visualization, and modeling using R. You can find a free online version of the book here. Perfect for beginners and experienced users alike, it will transform the way you handle data!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. The book club will meet every Thursday from noon to 1:30 p.m. in room B020 in Price Science Commons, from June 27 to September 12 (except July 4!). Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 27 & July 11: Whole Game (workflows, data importing, tidying & transformation, getting help) July 18 & 25: Visualize (layers, exploratory data analysis, communication) August 1 & 8: Transform (vectors, numbers, strings, expressions, factors, dates, missing values, joins) August 15 & 22: Import (spreadsheets, databases, arrow, web scraping, hierarchical data) August 29 & September 5: Program (functions, iteration, base R) September 12: Communicate (Quarto)
Aug 13
Learning Stats with R noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for...
Learning Stats with R
June 25–September 10
noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for beginners and insightful for seasoned learners. Perfect for anyone looking to enhance their statistical skills and data analysis expertise!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. A free online version of the book can be found here. The book club will meet every Tuesday from noon to 1:30 in room B020 in Price Science Commons, from June 25 to September 10. Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 25: Background (Ch. 1 & 2: Why learn stats? & research design) July 2: An Introduction to R (Ch. 3 & 4: Getting started & R concepts) July 9: Working with Data (Ch. 5 & 6: Descriptive stats & drawing graphs) July 16: Working with Data (Ch. 7 & 8: working with data & basic programming) July 23: Introduction to Probability (Ch. 9) July 30: Estimating unknown quantities (Ch. 10) August 6: Hypothesis testing (Ch. 11) August 13: Categorical Data Analysis (Ch. 12) August 20: Comparing two means (Ch. 13: z-test and t-test) August 27: Comparing Several Means (Ch. 14: once-way ANOVA) September 3: Linear Regression (Ch. 15) September 10: Factorial ANOVA (Ch. 16), Bayesian stats as time allows
Aug 15
MS in Finance Information Session 8:30 a.m.

Master of Science in Finance Information Session: Meet admission representatives, overview of the MSF program, and admission requirements leading up to the next application...
MS in Finance Information Session
August 15
8:30–9:00 a.m.
This is a virtual event.

Master of Science in Finance Information Session: Meet admission representatives, overview of the MSF program, and admission requirements leading up to the next application cycle.

Thursday, Aug 15, 2024 8:30AM PT (30mins): Join the University of Oregon MSF Admission representative to get an introduction to the MSF program! Learn more about the Master of Science in Finance degree program and have the chance to ask questions and get all the details on the program, including its curriculum, admissions requirements, career outcomes, and more. This event will be helpful for anyone considering applying to the MSF program or still deciding if the field of finance is right for them.

Aug 15
R for Data Science noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation,...
R for Data Science
June 27–September 12
noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation, visualization, and modeling using R. You can find a free online version of the book here. Perfect for beginners and experienced users alike, it will transform the way you handle data!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. The book club will meet every Thursday from noon to 1:30 p.m. in room B020 in Price Science Commons, from June 27 to September 12 (except July 4!). Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 27 & July 11: Whole Game (workflows, data importing, tidying & transformation, getting help) July 18 & 25: Visualize (layers, exploratory data analysis, communication) August 1 & 8: Transform (vectors, numbers, strings, expressions, factors, dates, missing values, joins) August 15 & 22: Import (spreadsheets, databases, arrow, web scraping, hierarchical data) August 29 & September 5: Program (functions, iteration, base R) September 12: Communicate (Quarto)
Aug 19
Coming to Oregon Graduate Student Group 10:00 a.m.

New, incoming, international graduate students! Your arrival date is approaching fast! Join us for another "Coming to Oregon Graduate Student Group" session for an hour...
Coming to Oregon Graduate Student Group
August 19
10:00–11:00 a.m.
This is a virtual event.

New, incoming, international graduate students! Your arrival date is approaching fast! Join us for another "Coming to Oregon Graduate Student Group" session for an hour to have an informal time via Zoom with other students like you and UO staff. Ask questions and learn from each other! Register here. You may join us also for the later session at 9:00 pm PST. Register here for the later session.

Aug 19
Coming to Oregon Graduate Student Group - evening session 9:00 p.m.

New, incoming, international graduate students! Your arrival date is approaching fast! Join us for another "Coming to Oregon Graduate Student Group" session for an hour...
Coming to Oregon Graduate Student Group - evening session
August 19
9:00–10:00 p.m.
This is a virtual event.

New, incoming, international graduate students! Your arrival date is approaching fast! Join us for another "Coming to Oregon Graduate Student Group" session for an hour to have an informal time via Zoom with other students like you and UO staff. Ask questions and learn from each other! Register here. You may join us also for the earlier session at 10:00 am PST. Register here for the earlier session.

Aug 20
Learning Stats with R noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for...
Learning Stats with R
June 25–September 10
noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for beginners and insightful for seasoned learners. Perfect for anyone looking to enhance their statistical skills and data analysis expertise!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. A free online version of the book can be found here. The book club will meet every Tuesday from noon to 1:30 in room B020 in Price Science Commons, from June 25 to September 10. Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 25: Background (Ch. 1 & 2: Why learn stats? & research design) July 2: An Introduction to R (Ch. 3 & 4: Getting started & R concepts) July 9: Working with Data (Ch. 5 & 6: Descriptive stats & drawing graphs) July 16: Working with Data (Ch. 7 & 8: working with data & basic programming) July 23: Introduction to Probability (Ch. 9) July 30: Estimating unknown quantities (Ch. 10) August 6: Hypothesis testing (Ch. 11) August 13: Categorical Data Analysis (Ch. 12) August 20: Comparing two means (Ch. 13: z-test and t-test) August 27: Comparing Several Means (Ch. 14: once-way ANOVA) September 3: Linear Regression (Ch. 15) September 10: Factorial ANOVA (Ch. 16), Bayesian stats as time allows
Aug 21
Master of Accounting Information Session 8:30 a.m.

Master of Accounting Information Session: Meet admission representatives, overview of the MAcc program, and admission requirements leading up to the next application...
Master of Accounting Information Session
August 21
8:30–9:00 a.m.
This is a virtual event.

Master of Accounting Information Session: Meet admission representatives, overview of the MAcc program, and admission requirements leading up to the next application cycle.

Wednesday, Aug 21, 2024 8:30AM PT (30mins): Join the University of Oregon MAcc Admission representative to get an introduction to the MAcc program! Meet your representatives (including the new director of the MAcc program!), learn about the program and career outcomes, and understand the admission requirements. Don’t miss this chance to learn about how to advance your career in accounting!

Aug 22
R for Data Science noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation,...
R for Data Science
June 27–September 12
noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation, visualization, and modeling using R. You can find a free online version of the book here. Perfect for beginners and experienced users alike, it will transform the way you handle data!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. The book club will meet every Thursday from noon to 1:30 p.m. in room B020 in Price Science Commons, from June 27 to September 12 (except July 4!). Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 27 & July 11: Whole Game (workflows, data importing, tidying & transformation, getting help) July 18 & 25: Visualize (layers, exploratory data analysis, communication) August 1 & 8: Transform (vectors, numbers, strings, expressions, factors, dates, missing values, joins) August 15 & 22: Import (spreadsheets, databases, arrow, web scraping, hierarchical data) August 29 & September 5: Program (functions, iteration, base R) September 12: Communicate (Quarto)
Aug 27
Learning Stats with R noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for...
Learning Stats with R
June 25–September 10
noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for beginners and insightful for seasoned learners. Perfect for anyone looking to enhance their statistical skills and data analysis expertise!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. A free online version of the book can be found here. The book club will meet every Tuesday from noon to 1:30 in room B020 in Price Science Commons, from June 25 to September 10. Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 25: Background (Ch. 1 & 2: Why learn stats? & research design) July 2: An Introduction to R (Ch. 3 & 4: Getting started & R concepts) July 9: Working with Data (Ch. 5 & 6: Descriptive stats & drawing graphs) July 16: Working with Data (Ch. 7 & 8: working with data & basic programming) July 23: Introduction to Probability (Ch. 9) July 30: Estimating unknown quantities (Ch. 10) August 6: Hypothesis testing (Ch. 11) August 13: Categorical Data Analysis (Ch. 12) August 20: Comparing two means (Ch. 13: z-test and t-test) August 27: Comparing Several Means (Ch. 14: once-way ANOVA) September 3: Linear Regression (Ch. 15) September 10: Factorial ANOVA (Ch. 16), Bayesian stats as time allows
Aug 29
R for Data Science noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation,...
R for Data Science
June 27–September 12
noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation, visualization, and modeling using R. You can find a free online version of the book here. Perfect for beginners and experienced users alike, it will transform the way you handle data!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. The book club will meet every Thursday from noon to 1:30 p.m. in room B020 in Price Science Commons, from June 27 to September 12 (except July 4!). Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 27 & July 11: Whole Game (workflows, data importing, tidying & transformation, getting help) July 18 & 25: Visualize (layers, exploratory data analysis, communication) August 1 & 8: Transform (vectors, numbers, strings, expressions, factors, dates, missing values, joins) August 15 & 22: Import (spreadsheets, databases, arrow, web scraping, hierarchical data) August 29 & September 5: Program (functions, iteration, base R) September 12: Communicate (Quarto)
Sep 3
Learning Stats with R noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for...
Learning Stats with R
June 25–September 10
noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for beginners and insightful for seasoned learners. Perfect for anyone looking to enhance their statistical skills and data analysis expertise!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. A free online version of the book can be found here. The book club will meet every Tuesday from noon to 1:30 in room B020 in Price Science Commons, from June 25 to September 10. Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 25: Background (Ch. 1 & 2: Why learn stats? & research design) July 2: An Introduction to R (Ch. 3 & 4: Getting started & R concepts) July 9: Working with Data (Ch. 5 & 6: Descriptive stats & drawing graphs) July 16: Working with Data (Ch. 7 & 8: working with data & basic programming) July 23: Introduction to Probability (Ch. 9) July 30: Estimating unknown quantities (Ch. 10) August 6: Hypothesis testing (Ch. 11) August 13: Categorical Data Analysis (Ch. 12) August 20: Comparing two means (Ch. 13: z-test and t-test) August 27: Comparing Several Means (Ch. 14: once-way ANOVA) September 3: Linear Regression (Ch. 15) September 10: Factorial ANOVA (Ch. 16), Bayesian stats as time allows
Sep 5
R for Data Science noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation,...
R for Data Science
June 27–September 12
noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation, visualization, and modeling using R. You can find a free online version of the book here. Perfect for beginners and experienced users alike, it will transform the way you handle data!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. The book club will meet every Thursday from noon to 1:30 p.m. in room B020 in Price Science Commons, from June 27 to September 12 (except July 4!). Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 27 & July 11: Whole Game (workflows, data importing, tidying & transformation, getting help) July 18 & 25: Visualize (layers, exploratory data analysis, communication) August 1 & 8: Transform (vectors, numbers, strings, expressions, factors, dates, missing values, joins) August 15 & 22: Import (spreadsheets, databases, arrow, web scraping, hierarchical data) August 29 & September 5: Program (functions, iteration, base R) September 12: Communicate (Quarto)
Sep 10
Learning Stats with R noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for...
Learning Stats with R
June 25–September 10
noon

Join our book club as we delve into Learning Statistics with R by Danielle Navarro. This engaging guide simplifies the complexities of statistics using R, making it accessible for beginners and insightful for seasoned learners. Perfect for anyone looking to enhance their statistical skills and data analysis expertise!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. A free online version of the book can be found here. The book club will meet every Tuesday from noon to 1:30 in room B020 in Price Science Commons, from June 25 to September 10. Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 25: Background (Ch. 1 & 2: Why learn stats? & research design) July 2: An Introduction to R (Ch. 3 & 4: Getting started & R concepts) July 9: Working with Data (Ch. 5 & 6: Descriptive stats & drawing graphs) July 16: Working with Data (Ch. 7 & 8: working with data & basic programming) July 23: Introduction to Probability (Ch. 9) July 30: Estimating unknown quantities (Ch. 10) August 6: Hypothesis testing (Ch. 11) August 13: Categorical Data Analysis (Ch. 12) August 20: Comparing two means (Ch. 13: z-test and t-test) August 27: Comparing Several Means (Ch. 14: once-way ANOVA) September 3: Linear Regression (Ch. 15) September 10: Factorial ANOVA (Ch. 16), Bayesian stats as time allows
Sep 12
R for Data Science noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation,...
R for Data Science
June 27–September 12
noon

Join our book club as we explore R for Data Science, a must-read for anyone looking to master data analysis. This book offers a comprehensive guide to data manipulation, visualization, and modeling using R. You can find a free online version of the book here. Perfect for beginners and experienced users alike, it will transform the way you handle data!

We will meet weekly to go over the chapter and explore any activities- no need to have finished the reading every week. The book club will meet every Thursday from noon to 1:30 p.m. in room B020 in Price Science Commons, from June 27 to September 12 (except July 4!). Feel free to sign up for the entire sequence and drop into the sessions that interest you!

Schedule:

June 27 & July 11: Whole Game (workflows, data importing, tidying & transformation, getting help) July 18 & 25: Visualize (layers, exploratory data analysis, communication) August 1 & 8: Transform (vectors, numbers, strings, expressions, factors, dates, missing values, joins) August 15 & 22: Import (spreadsheets, databases, arrow, web scraping, hierarchical data) August 29 & September 5: Program (functions, iteration, base R) September 12: Communicate (Quarto)
Sep 25
Graduate Employee Day of Teaching 9:00 a.m.

The GE Day of Teaching provides is an opportunity for new GEs to learn foundational teaching skills and topics as well as what quality teaching means at UO (it's professional,...
Graduate Employee Day of Teaching
September 25
9:00 a.m.–5:00 p.m.
100 Willamette Hall

The GE Day of Teaching provides is an opportunity for new GEs to learn foundational teaching skills and topics as well as what quality teaching means at UO (it's professional, inclusive, engaged, and research-informed!). It's also an opportunity to meet other GEs and build community, and to learn about resources that support the vibrant teaching community here.

Free. Registration at https://oregon.qualtrics.com/jfe/form/SV_6gH3SBdROWB1e8S

Full schedule and more details at https://teaching.uoregon.edu/ge-day-teaching

Oct 10
2024 Beta Alpha Psi presents: Meet the Firms 5:00 p.m.

Looking to meet public accounting firms and learn more about the industry? Beta Alpha Psi invites you to explore opportunities at our Meet the Firms event...
2024 Beta Alpha Psi presents: Meet the Firms
October 10
5:00–7:30 p.m.
Lillis Business Complex Atrium

Looking to meet public accounting firms and learn more about the industry?

Beta Alpha Psi invites you to explore opportunities at our Meet the Firms event on Thursday, October 10 from 6:00pm to 7:30pm in the Lillis Atrium, where firms will be looking to recruit students! This is an exciting opportunity for you to learn more about the firm, the employees, and any positions the firms are looking to fill. Please register in Handshake to secure your spot! This event will host a broad range of public firms and even some industry companies looking to hire accountants!

Want to sharpen your pitch? Looking for some tips when introducing yourself? We are offering a Networking Prep opportunity for all of you to attend prior to the Meet the Firms event. On Thursday, Oct 10, from 5:00pm-6:00pm in Chiles 125, this prep session will be set in an easy going environment where you can try out your communication skills and get the jitters out.   We hope to see you there!

Oct 11
Sports Product Management Class of 2025 Summer Experience Presentations 9:00 a.m.

Join the Sports Product Management Class of 2025 as they share their summer internships and industry experiences. This event is free and open to the SPM community, industry...
Sports Product Management Class of 2025 Summer Experience Presentations
October 11
9:00 a.m.–3:30 p.m.
UO Portland Northeast Campus

Join the Sports Product Management Class of 2025 as they share their summer internships and industry experiences.

This event is free and open to the SPM community, industry partners, and prospective students. Both in person and Zoom viewing options will be available. More details to come later this summer.

Oct 11
Finance Seminar: Ilias Filippou 10:30 a.m.

The Lundquist College of Business welcomes Ilias Filippou, Assistant Professor of Finance at Florida State University, during a seminar presented by the Department of...
Finance Seminar: Ilias Filippou
October 11
10:30 a.m.–12:00 p.m.
Lillis Business Complex Room 312

The Lundquist College of Business welcomes Ilias Filippou, Assistant Professor of Finance at Florida State University, during a seminar presented by the Department of Finance.

Contact assistant professor of finance Ioannis Branikas for additional information.

Oct 16
The BIG 10+ Academia Career Fair 8:00 a.m.

Calling all graduate students and postdoctoral scholars! If you are considering a faculty, researcher, lecturer, postdoc, or other academic-adjacent position, then consider...
The BIG 10+ Academia Career Fair
October 16
8:00–11:00 a.m.
This is a virtual event.

Calling all graduate students and postdoctoral scholars! If you are considering a faculty, researcher, lecturer, postdoc, or other academic-adjacent position, then consider attending the 2024 BIG10+ Academia Career Fair, offered in a virtual, highly interactive, and completely free, format! Details and sign up on Handshake at https://uoregon.joinhandshake.com/stu/career_fairs/48820

Meet with academies and research organizations.Interact with recruiters through video, audio, or chat. Discover new tenure, non-tenure track (lecturers, researchers,...etc.), postdoctoral trainee, & fellowship career opportunities. All levels of graduate students and postdocs (1st years to those finishing) are welcome to explore career opportunities in academia and research. Never wait in line, ever. Pre-schedule individual (10 minutes - recommended for those looking for jobs now or completing their program in 2025) and/or group sessions (30 minutes) with organizations ahead of the fair or on the day-of the career fair. Both types of sessions are limited, so don't miss out! Once registered, you can add sessions with recruiters for specific organizations attending the career fair.

DEADLINE for C.V. submissions is Tuesday, October 8th at 9:00 PM Pacific Time. This is a HARD deadline, so submit early just in case you have technical difficulties. It is recommended that you add your C.V. on Handshake, as this platform is a great place to search and apply for positions at your level.  

Oct 16
Resume Extravaganza! (Drop-In Resume Reviews with Career Coaches & Peer Coaches) 11:00 a.m.

Did you know you can have someone review your resume before the Fall Career & Internship Expo on 10/24? Drop-in with a career readiness coach or peer coach in Tykeson...
Resume Extravaganza! (Drop-In Resume Reviews with Career Coaches & Peer Coaches)
October 16
11:00 a.m.–4:00 p.m.
Willie and Donald Tykeson Hall Commons (First Floor)

Did you know you can have someone review your resume before the Fall Career & Internship Expo on 10/24? Drop-in with a career readiness coach or peer coach in Tykeson Hall Commons to get feedback on your resume! Free cookies & hot chocolate too :)

Don’t have a resume? Come learn how to make one!

Want to apply for the Peace Corps? We'll also have returned Peace Corps volunteers available to review resumes and give advice about the application process with any interested students! Ask for Carolyn Williams!

This University Career Center event is part of the 2024 Fall Career Readiness Week sponsored by Enterprise Mobility and Sherwin Williams. To learn more about all of the week's events visit http://career.uoregon.edu/events  

Oct 16
BizCareers in Finance, Banking, and Real Estate 5:30 p.m.

Mohr Career Services and Cameron Center for Finance and Securities Analysis invites you to join one of our most popular events of the year. BizCareers in Finance,...
BizCareers in Finance, Banking, and Real Estate
October 16
5:30–8:00 p.m.
Lillis Business Complex 282 and Atrium

Mohr Career Services and Cameron Center for Finance and Securities Analysis invites you to join one of our most popular events of the year. BizCareers in Finance, Banking, and Real Estate features companies and opportunities in Corporate Finance, Banking, Investments, Portfolio, and Wealth Management. BizCareers in Finance, Banking, and Real Estate is a panel discussion followed by networking event to meet company representatives for career exploration. Students attend the ALUMNI PANEL discussion at 5:30pm in Lillis 282 to learn about career paths and what skills and experience you can gain now to be a competitive applicant.   Companies and students attend the NETWORKING MIXER at 6:30pm-8pm in Lillis Atrium immediately after the panel discussion for some refreshments and the opportunity to expand your network of employer connections and learn about immediate opportunities for internships and full-time jobs. Also, Lillis 155, right off of the Atrium, will be available for you who would like a quiet space to take a break, reflect or have a conversation with an attendee. Come to the check-in desk and let us know!

Alumni Panel Speakers: (To be announced soon!)

Oct 17
Part-time Job & Work-Study Fair 10:00 a.m.

Looking for a part-time job or want to learn more about work-study opportunities? Stop by the Part-Time Job & Work-Study Fair, Thursday, October 17, from 10:00 a.m. to...
Part-time Job & Work-Study Fair
October 17
10:00 a.m.–2:00 p.m.
Erb Memorial Union (EMU) Crater Lake Rooms

Looking for a part-time job or want to learn more about work-study opportunities? Stop by the Part-Time Job & Work-Study Fair, Thursday, October 17, from 10:00 a.m. to 2:00 p.m. in the EMU Crater Lake Rooms to meet dozens of local and on-campus employers ready to hire today! Bring your resume and apply on the spot, or just look around and learn more about the great ways you can get work experience and build career readiness skills during your time at the UO.

FYI: Work-Study is a specific type of part-time job available to students based on financial need. If a job says it requires Work-Study, you must have accepted an award on Duckweb. To learn more about the program and how to find your award, check out https://career.uoregon.edu/jobs-and-internships/work-study

There will still be LOTS of jobs at this event that do not require work-study in order to apply--something for everyone!

Register in Handshake to keep up to date on which employers are coming to the fair and what jobs you can be applying for!