Online courses

On­line cours­es are one of ReLDI’s ma­jor com­po­nents. The cours­es can be used as a sup­ple­ment by those who at­tend­ed the live sem­i­nars, as in­de­pen­dent in­di­vid­ual dis­tance learn­ing cours­es, as help in de­vel­op­ing teach­ing ma­te­ri­als for uni­ver­si­ty cours­es, or as tech­ni­cal and method­olog­i­cal sup­port for su­per­vis­ing doc­tor­al dis­ser­ta­tions. They are open to any­one in­ter­est­ed.

The course ma­te­ri­als are in Croatian/Serbian.

An Open edX course at the Uni­ver­si­ty of Zurich.

The top­ics of this course in­clude gen­er­al prop­er­ties of sci­en­tif­ic re­search and the key el­e­ments of quan­ti­ta­tive re­search (re­search de­sign, vari­ables, sam­pling). The course is rel­e­vant for both ex­per­i­men­tal and cor­pus-based re­search, as well as sta­tis­ti­cal analy­sis.

An Open edX course at the Uni­ver­si­ty of Zurich.

The top­ics of this course cov­er the tech­ni­cal as­pects of how cor­po­ra are built and used, as well as method­olog­i­cal ques­tions spe­cif­ic to cor­pus lin­guis­tics, and those rel­e­vant for pro­ce­dures in sci­en­tif­ic re­search in gen­er­al.

An Open edX course at the Uni­ver­si­ty of Zurich.

The top­ics of this course in­clude ex­per­i­ment prepa­ra­tion, com­par­i­son be­tween ex­per­i­ments and oth­er sources of lan­guage data, the choice of par­tic­i­pants and stim­uli, qual­i­ty con­trol.

An Open edX course at the Uni­ver­si­ty of Zurich.

The top­ics of this course in­clude the gen­er­al prop­er­ties of quan­ti­ta­tive re­search, the no­tions of de­scrip­tive and in­fer­en­tial sta­tis­tics, cal­cu­la­tion of de­scrip­tive mea­sures, sta­tis­ti­cal in­fer­ence and sev­er­al im­por­tant sta­tis­ti­cal tests (t-test, ANOVA, non-para­met­ric tests). The freely avail­able R soft­ware is used.

A Python Note­book on GitHub.

The course cov­ers the ba­sics of pro­gram­ming in Python, as used in lin­guis­tic re­search. It was de­vel­oped with­in the Dig­iLing project.