GOALS

After suc­cess­ful com­ple­ti­on of the mo­du­le, stu­dents have the abi­li­ty to in­de­pen­dent­ly ex­plo­re a selec­ted topic area. This in­clu­des li­te­ra­tu­re se­arch ta­king into ac­count in­ter­na­tio­nal spe­cia­list li­te­ra­tu­re and re­le­vant data­ba­ses, as well as the ana­ly­sis, selec­tion and eva­lua­ti­on of sour­ces. They are able to struc­tu­re and sum­ma­ri­ze sci­en­ti­fic con­tent, pre­pa­re a writ­ten paper and a pre­sen­ta­ti­on. You have a good com­mand of com­mon pre­sen­ta­ti­on tech­ni­ques (tech­ni­cal and rhe­to­ri­cal) and are able to ex­plain a sci­en­ti­fic topic in terms of con­tent and to an­s­wer ques­ti­ons. They can ana­ly­se other pre­sen­ta­ti­ons, re­flect on pre­sen­ta­ti­on tech­ni­ques and for­mu­la­te con­struc­tive cri­ti­cism.

CONTENT

This year's se­mi­nar will focus on the topic of "Deep Le­arning" based on the book by Ian Good­fel­low, Yos­hua Ben­gio and Aaron Cour­vil­le. On the one hand, the se­mi­nar will deal with basic con­cepts of deep le­arning, and on the other hand with the ar­chi­tec­tu­re of ty­pi­cal net­works and their ap­p­li­ca­ti­ons.

The se­mi­nar does not re­qui­re any spe­cial prior know­ledge of me­di­cal en­gi­nee­ring. Thus, it is also sui­ta­ble for in­te­rested stu­dents of other study areas. The to­pics of­fe­red are pre­pa­red by the stu­dents, wor­ked out in wri­ting and pre­sen­ted in lec­tu­res. The lec­tu­res will be di­s­cus­sed with re­gard to con­tent and pre­sen­ta­ti­on.

REQUIREMENTS

none

RECOMMENDED KNOWLEDGE

Know­ledge of sys­tem theo­ry and si­gnal pro­ces­sing, cor­re­spon­ding to those taught as ba­sics in the lec­tu­res of the ba­che­lor's pro­gram in Elec­tri­cal En­gi­nee­ring and In­for­ma­ti­on Tech­no­lo­gy. Basic know­ledge of neu­ral net­works would be hel­pful.

MISCELLANEOUS

Re­gis­tra­ti­on is car­ried out via the E-Le­arning Por­tal Mood­le of the Ruhr-Uni­ver­si­tät Bo­chum. You will receive further information in the preliminary meeting on 04/11/2022 at 2:15 pm.