class: center, middle, inverse, title-slide # MSCH-C101 ## Friday Discussion Session ### Hongtao Hao ### Media School, IU ### 2020/01/17 (updated: 2020-05-25) --- class: inverse background-image: url(https://media1.giphy.com/media/Sr3Tm4BnEJlyupGbSd/giphy.gif?cid=790b76115e6d803f11c5f13517c9178d1fcf45537ad472e1&rid=giphy.gif) background-size: 20% background-position: 90% 20% #Schedule - Course Introduction - Grading Policy - Introducing Myself - Introducing Yourself - Accreditation Assessment - Media Journal Assignment - Key Dates This Semester - What's Next --- class: inverse ## Hongtao Hao - 2nd year MA student studying communication science - Title in This Course: Associate Instructor - Email: hhao@iu.edu - Office Hour: Monday 10:15 am to 11:45 am @Franklin Commons area (place subject to change) --- class: inverse class: inverse background-image: url(https://media.giphy.com/media/4xpB3eE00FfBm/giphy.gif) background-size: 20% background-position: 90% 20% ## My job in this class: - **Lead** Friday discussion sessions - **Grade** <sup>1</sup> your weekly assignment - **Review** Mon & Wed classes - ...<sup>2</sup> - Most importantly, I'm here to **help** you! .footnote[ [1] Mid term exam and Final exam will be done on scantron sheets. Machines will grade them. [2] If there is anything else I can help, just let me know! ] --- class: inverse background-image: url(/media/grading.gif) background-size: 35% background-position: 50% 70% ## Grading Policy: Nice --- class: inverse background-image: url(https://media.giphy.com/media/L4Huas8DQDp28AW30K/giphy.gif) background-size: 50% background-position: 50% 70% ## Grading Policy: Fair - Attendence (4 pts each) - Weekly assignments (Rubric) --- class: inverse background-image: url(https://hhao1992.github.io/media/hongtao.jpg#center) background-size: 50% background-position: 50% 80% ## Hongtao Hao - 2nd year MA student studying communication science - From a city south of Beijing - Travelling: Singapore, Poland, Switzerland, Spain, Italy, Belgium, and Greece --- class: inverse background-image: url(https://media.giphy.com/media/3ohjVbtnjfItugTEiY/giphy.gif) background-size: 50% background-position: 50% 80% ## You? - Year, Major - From - Something you like (Optional) --- class: inverse background-image: url(https://media.giphy.com/media/j39AzlvlJqE7e/giphy.gif) background-size: 25% background-position: 90% 10% # Accreditation Assessment - No hurting your grades in this class - For Media School collecting information -- ## Steps: - Canvas -- C101 -- Quizzes -- Accreditation Assessment - Passwords: *snowy* --- class: inverse, center, middle # Enjoy the Assessment (10 minutes) --- class: inverse background-image: url(https://media.giphy.com/media/FIxjQGnjmNt5u/giphy.gif) background-size: 25% background-position: 90% 10% # #1 Assignment: Media Journal - Due: **Friday, Jan. 24th, 7a.m.** (before your discussion session next week) - Submission: Upload to (*the magic*) Canvas ## Requirement Tracking your media consumption in 24 hours: - Time - Content/activity - Who paid for it - Technologies/platforms/channels ### You can download this template: [**Template**](/files/1-week/media_journal_template.docx) ### You can download this example: [**Example**](/files/1-week/media_journal_example.pdf) --- class: inverse background-image: url(https://media.giphy.com/media/3o6Ztizt8zcG9ndmKs/giphy.gif) background-size: 25% background-position: 90% 10% # Don't miss these days: - Friday (Febuary 7): Group Assignment - Friday (Febuary 28): Group Assignment - Wednesday (March 4): Midterm Exam - Wednesday (May 6): Final Exam --- class: inverse background-image: url(https://media.giphy.com/media/vfyN4sCz1QBR6/giphy.gif) background-size: 25% background-position: 90% 10% # What's Next: - No class on Monday (MLK Day) - Theme next week: Media Literacy - Watch the two videos before Wed. class (20 mins in total) - Discuss Media Journal Assignment next Friday (Jan. 24th) - Media School Placement Exam next Friday (Jan. 24th) --- class: inverse, center, middle # Thanks! # And Enjoy the Three Day Holiday! Slides created via the R package [**xaringan**](https://github.com/yihui/xaringan). Slides source codes can be found [**here**](/slides/1st-week-slides.Rmd).